{
"USGS Publications Warehouse": {
"@context": "https://schema.org",
"@type": "Article",
"additionalType": "Journal Article",
"name": "Multistressor predictive models of invertebrate condition in the Corn Belt, USA",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse IndexID",
"value": "70191837",
"url": "https://pubs.usgs.gov/publication/70191837"
},
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse Internal ID",
"value": 70191837
},
{
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.1086/694894",
"url": "https://doi.org/10.1086/694894"
}
],
"journal": {
"@type": "Periodical",
"name": "Freshwater Science",
"volumeNumber": "36",
"issueNumber": "4"
},
"inLanguage": "en",
"isPartOf": [
{
"@type": "CreativeWorkSeries",
"name": "Freshwater Science"
}
],
"datePublished": "2017",
"dateModified": "2017-11-29",
"abstract": "Understanding the complex relations between multiple environmental stressors and ecological conditions in streams can help guide resource-management decisions. During 14 weeks in spring/summer 2013, personnel from the US Geological Survey and the US Environmental Protection Agency sampled 98 wadeable streams across the Midwest Corn Belt region of the USA for water and sediment quality, physical and habitat characteristics, and ecological communities. We used these data to develop independent predictive disturbance models for 3 macroinvertebrate metrics and a multimetric index. We developed the models based on boosted regression trees (BRT) for 3 stressor categories, land use/land cover (geographic information system [GIS]), all in-stream stressors combined (nutrients, habitat, and contaminants), and for GIS plus in-stream stressors. The GIS plus in-stream stressor models had the best overall performance with an average cross-validation\u00a0R2\u00a0across all models of 0.41. The models were generally consistent in the explanatory variables selected within each stressor group across the 4 invertebrate metrics modeled. Variables related to riparian condition, substrate size or embeddedness, velocity and channel shape, nutrients (primarily NH3), and contaminants (pyrethroid degradates) were important descriptors of the invertebrate metrics. Models based on all measured in-stream stressors performed comparably to models based on GIS landscape variables, suggesting that the in-stream stressor characterization reasonably represents the dominant factors affecting invertebrate communities and that GIS variables are acting as surrogates for in-stream stressors that directly affect in-stream biota.",
"description": "14 p.",
"publisher": {
"@type": "Organization",
"name": "University of Chicago Press"
},
"author": [
{
"@type": "Person",
"name": "Waite, Ian R. iwaite@usgs.gov",
"givenName": "Ian R.",
"familyName": "Waite",
"email": "iwaite@usgs.gov",
"identifier": {
"@type": "PropertyValue",
"propertyID": "ORCID",
"value": "0000-0003-1681-6955",
"url": "https://orcid.org/0000-0003-1681-6955"
},
"affiliation": [
{
"@type": "Organization",
"name": "Oregon Water Science Center",
"url": "https://www.usgs.gov/centers/oregon-water-science-center"
}
]
},
{
"@type": "Person",
"name": "Van Metre, Peter C. pcvanmet@usgs.gov",
"givenName": "Peter C.",
"familyName": "Van Metre",
"email": "pcvanmet@usgs.gov",
"identifier": {
"@type": "PropertyValue",
"propertyID": "ORCID",
"value": "0000-0001-7564-9814",
"url": "https://orcid.org/0000-0001-7564-9814"
},
"affiliation": [
{
"@type": "Organization",
"name": "National Water Quality Program",
"url": "https://www.usgs.gov/programs/national-water-quality-program"
},
{
"@type": "Organization",
"name": "Washington Water Science Center",
"url": "https://www.usgs.gov/centers/washington-water-science-center"
},
{
"@type": "Organization",
"name": "Texas Water Science Center",
"url": "https://www.usgs.gov/centers/oklahoma-texas-water-science-center"
}
]
}
],
"funder": [
{
"@type": "Organization",
"name": "Oregon Water Science Center",
"url": "https://www.usgs.gov/centers/oregon-water-science-center"
}
],
"spatialCoverage": [
{
"@type": "Place",
"additionalType": "country",
"name": "United States",
"url": "https://geonames.org/4074035"
},
{
"@type": "Place",
"additionalType": "state",
"name": "Illinois"
},
{
"@type": "Place",
"additionalType": "state",
"name": "Indiana"
},
{
"@type": "Place",
"additionalType": "state",
"name": "Iowa"
},
{
"@type": "Place",
"additionalType": "state",
"name": "Kansas"
},
{
"@type": "Place",
"additionalType": "state",
"name": "Kentucky"
},
{
"@type": "Place",
"additionalType": "state",
"name": "Minnesota"
},
{
"@type": "Place",
"additionalType": "state",
"name": "Missouri"
},
{
"@type": "Place",
"additionalType": "state",
"name": "Nebraska"
},
{
"@type": "Place",
"additionalType": "state",
"name": "Ohio"
},
{
"@type": "Place",
"additionalType": "state",
"name": "South Dakota"
},
{
"@type": "Place",
"additionalType": "state",
"name": "Wisconsin"
},
{
"@type": "Place",
"geo": [
{
"@type": "GeoShape",
"additionalProperty": {
"@type": "PropertyValue",
"name": "GeoJSON",
"value": {
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"properties": {},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-98.41552734375,
37.61423141542417
],
[
-82.30957031249999,
37.61423141542417
],
[
-82.30957031249999,
44.77793589631623
],
[
-98.41552734375,
44.77793589631623
],
[
-98.41552734375,
37.61423141542417
]
]
]
}
}
]
}
}
},
{
"@type": "GeoCoordinates",
"latitude": 41.1960836558702,
"longitude": -90.36254882812499
}
]
}
]
},
"OpenAlex": {
"abstract_inverted_index": {
"Understanding": [
0
],
"the": [
1,
26,
31,
41,
47,
81,
121,
141,
150,
178,
199,
205
],
"complex": [
2
],
"relations": [
3
],
"between": [
4
],
"multiple": [
5
],
"environmental": [
6
],
"stressors": [
7,
102,
187,
221
],
"and": [
8,
30,
51,
55,
58,
75,
106,
108,
165,
170,
211
],
"ecological": [
9,
59
],
"conditions": [
10
],
"in": [
11,
21,
140
],
"streams": [
12,
39
],
"can": [
13
],
"help": [
14
],
"guide": [
15
],
"resource-management": [
16
],
"decisions.": [
17
],
"During": [
18
],
"14": [
19
],
"weeks": [
20
],
"spring/summer": [
22
],
"2013,": [
23
],
"personnel": [
24
],
"from": [
25
],
"US": [
27,
32
],
"Geological": [
28
],
"Survey": [
29
],
"Environmental": [
33
],
"Protection": [
34
],
"Agency": [
35
],
"sampled": [
36
],
"98": [
37
],
"wadeable": [
38
],
"across": [
40,
130,
149
],
"Midwest": [
42
],
"Corn": [
43
],
"Belt": [
44
],
"region": [
45
],
"of": [
46,
133,
177
],
"USA": [
48
],
"for": [
49,
71,
89,
109,
219
],
"water": [
50
],
"sediment": [
52
],
"quality,": [
53
],
"physical": [
54
],
"habitat": [
56
],
"characteristics,": [
57
],
"communities.": [
60
],
"We": [
61,
79
],
"used": [
62
],
"these": [
63
],
"data": [
64
],
"to": [
65,
157
],
"develop": [
66
],
"independent": [
67
],
"predictive": [
68
],
"disturbance": [
69
],
"models": [
70,
82,
119,
132,
136,
191
],
"3": [
72,
90
],
"macroinvertebrate": [
73
],
"metrics": [
74,
153
],
"a": [
76
],
"multimetric": [
77
],
"index.": [
78
],
"developed": [
80
],
"based": [
83,
182,
192
],
"on": [
84,
183,
193
],
"boosted": [
85
],
"regression": [
86
],
"trees": [
87
],
"(BRT)": [
88
],
"stressor": [
91,
118,
147,
201
],
"categories,": [
92
],
"land": [
93
],
"use/land": [
94
],
"cover": [
95
],
"(geographic": [
96
],
"information": [
97
],
"system": [
98
],
"[GIS]),": [
99
],
"all": [
100,
131,
184
],
"in-stream": [
101,
112,
117,
186,
200,
220,
225
],
"combined": [
103
],
"(nutrients,": [
104
],
"habitat,": [
105
],
"contaminants),": [
107
],
"GIS": [
110,
115,
194,
213
],
"plus": [
111,
116
],
"stressors.": [
113
],
"The": [
114,
135
],
"had": [
120
],
"best": [
122
],
"overall": [
123
],
"performance": [
124
],
"with": [
125
],
"an": [
126
],
"average": [
127
],
"cross-validation": [
128
],
"R2": [
129
],
"0.41.": [
134
],
"were": [
137,
174
],
"generally": [
138
],
"consistent": [
139
],
"explanatory": [
142
],
"variables": [
143,
214
],
"selected": [
144
],
"within": [
145
],
"each": [
146
],
"group": [
148
],
"4": [
151
],
"invertebrate": [
152,
179,
209
],
"modeled.": [
154
],
"Variables": [
155
],
"related": [
156
],
"riparian": [
158
],
"condition,": [
159
],
"substrate": [
160
],
"size": [
161
],
"or": [
162
],
"embeddedness,": [
163
],
"velocity": [
164
],
"channel": [
166
],
"shape,": [
167
],
"nutrients": [
168
],
"(NH3),": [
169
],
"contaminants": [
171
],
"(pyrethroid": [
172
],
"degradates)": [
173
],
"important": [
175
],
"descriptors": [
176
],
"metrics.": [
180
],
"Models": [
181
],
"measured": [
185
],
"performed": [
188
],
"better": [
189
],
"than": [
190
],
"landscape": [
195
],
"variables,": [
196
],
"suggesting": [
197
],
"that": [
198,
212,
222
],
"characterization": [
202
],
"reasonably": [
203
],
"represents": [
204
],
"dominant": [
206
],
"factors": [
207
],
"affecting": [
208
],
"communities": [
210
],
"are": [
215
],
"acting": [
216
],
"as": [
217
],
"surrogates": [
218
],
"directly": [
223
],
"affect": [
224
],
"biota.": [
226
]
},
"apc_list": null,
"apc_paid": null,
"authorships": [
{
"author_position": "first",
"author": {
"id": "https://openalex.org/A5069013151",
"display_name": "Ian R. Waite",
"orcid": "https://orcid.org/0000-0003-1681-6955"
},
"institutions": [
{
"id": "https://openalex.org/I1286329397",
"display_name": "United States Geological Survey",
"ror": "https://ror.org/035a68863",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I1286329397",
"https://openalex.org/I1335927249"
]
}
],
"countries": [
"US"
],
"is_corresponding": true,
"raw_author_name": "Ian R. Waite",
"raw_affiliation_strings": [
"1US Geological Survey, Oregon Water Science Center, 2031 SW 5th Avenue, Portland, Oregon 97211 USA"
],
"affiliations": [
{
"raw_affiliation_string": "1US Geological Survey, Oregon Water Science Center, 2031 SW 5th Avenue, Portland, Oregon 97211 USA",
"institution_ids": [
"https://openalex.org/I1286329397"
]
}
]
},
{
"author_position": "last",
"author": {
"id": "https://openalex.org/A5060338329",
"display_name": "Peter C. Van Metre",
"orcid": "https://orcid.org/0000-0001-7564-9814"
},
"institutions": [
{
"id": "https://openalex.org/I1286329397",
"display_name": "United States Geological Survey",
"ror": "https://ror.org/035a68863",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I1286329397",
"https://openalex.org/I1335927249"
]
}
],
"countries": [
"US"
],
"is_corresponding": true,
"raw_author_name": "Peter C. Van Metre",
"raw_affiliation_strings": [
"2US Geological Survey, Texas Water Science Center, 1505 Ferguson Lane, Austin, Texas 78754 USA"
],
"affiliations": [
{
"raw_affiliation_string": "2US Geological Survey, Texas Water Science Center, 1505 Ferguson Lane, Austin, Texas 78754 USA",
"institution_ids": [
"https://openalex.org/I1286329397"
]
}
]
}
],
"best_oa_location": null,
"biblio": {
"volume": "36",
"issue": "4",
"first_page": "901",
"last_page": "914"
},
"citation_normalized_percentile": {
"value": 0.864264,
"is_in_top_1_percent": false,
"is_in_top_10_percent": false
},
"cited_by_api_url": "https://api.openalex.org/works?filter=cites:W2761565352",
"cited_by_count": 23,
"cited_by_percentile_year": {
"min": 92,
"max": 93
},
"concepts": [
{
"id": "https://openalex.org/C42090638",
"wikidata": "https://www.wikidata.org/wiki/Q4048907",
"display_name": "STREAMS",
"level": 2,
"score": 0.7032122
},
{
"id": "https://openalex.org/C39432304",
"wikidata": "https://www.wikidata.org/wiki/Q188847",
"display_name": "Environmental science",
"level": 0,
"score": 0.67729807
},
{
"id": "https://openalex.org/C185933670",
"wikidata": "https://www.wikidata.org/wiki/Q52105",
"display_name": "Habitat",
"level": 2,
"score": 0.5583552
},
{
"id": "https://openalex.org/C29450965",
"wikidata": "https://www.wikidata.org/wiki/Q342511",
"display_name": "Biota",
"level": 2,
"score": 0.5477669
},
{
"id": "https://openalex.org/C18903297",
"wikidata": "https://www.wikidata.org/wiki/Q7150",
"display_name": "Ecology",
"level": 1,
"score": 0.53006357
},
{
"id": "https://openalex.org/C11731853",
"wikidata": "https://www.wikidata.org/wiki/Q13360049",
"display_name": "Riparian zone",
"level": 3,
"score": 0.5007508
},
{
"id": "https://openalex.org/C2779099003",
"wikidata": "https://www.wikidata.org/wiki/Q5398938",
"display_name": "Stream restoration",
"level": 3,
"score": 0.4689507
},
{
"id": "https://openalex.org/C125370674",
"wikidata": "https://www.wikidata.org/wiki/Q1527480",
"display_name": "Stressor",
"level": 2,
"score": 0.4419917
},
{
"id": "https://openalex.org/C13474642",
"wikidata": "https://www.wikidata.org/wiki/Q43806",
"display_name": "Invertebrate",
"level": 2,
"score": 0.42054406
},
{
"id": "https://openalex.org/C2780797713",
"wikidata": "https://www.wikidata.org/wiki/Q625376",
"display_name": "Water quality",
"level": 2,
"score": 0.4120793
},
{
"id": "https://openalex.org/C76886044",
"wikidata": "https://www.wikidata.org/wiki/Q2883300",
"display_name": "Hydrology (agriculture)",
"level": 2,
"score": 0.40214744
},
{
"id": "https://openalex.org/C86803240",
"wikidata": "https://www.wikidata.org/wiki/Q420",
"display_name": "Biology",
"level": 0,
"score": 0.14335999
},
{
"id": "https://openalex.org/C31258907",
"wikidata": "https://www.wikidata.org/wiki/Q1301371",
"display_name": "Computer network",
"level": 1,
"score": 0.0
},
{
"id": "https://openalex.org/C187320778",
"wikidata": "https://www.wikidata.org/wiki/Q1349130",
"display_name": "Geotechnical engineering",
"level": 1,
"score": 0.0
},
{
"id": "https://openalex.org/C169760540",
"wikidata": "https://www.wikidata.org/wiki/Q207011",
"display_name": "Neuroscience",
"level": 1,
"score": 0.0
},
{
"id": "https://openalex.org/C41008148",
"wikidata": "https://www.wikidata.org/wiki/Q21198",
"display_name": "Computer science",
"level": 0,
"score": 0.0
},
{
"id": "https://openalex.org/C127413603",
"wikidata": "https://www.wikidata.org/wiki/Q11023",
"display_name": "Engineering",
"level": 0,
"score": 0.0
}
],
"corresponding_author_ids": [
"https://openalex.org/A5069013151",
"https://openalex.org/A5060338329"
],
"corresponding_institution_ids": [
"https://openalex.org/I1286329397",
"https://openalex.org/I1286329397"
],
"countries_distinct_count": 1,
"counts_by_year": [
{
"year": 2024,
"cited_by_count": 2
},
{
"year": 2023,
"cited_by_count": 2
},
{
"year": 2022,
"cited_by_count": 1
},
{
"year": 2021,
"cited_by_count": 3
},
{
"year": 2020,
"cited_by_count": 7
},
{
"year": 2019,
"cited_by_count": 4
},
{
"year": 2018,
"cited_by_count": 4
}
],
"created_date": "2017-10-20",
"datasets": [],
"display_name": "Multistressor predictive models of invertebrate condition in the Corn Belt, USA",
"doi": "https://doi.org/10.1086/694894",
"fulltext_origin": "ngrams",
"fwci": 2.621,
"grants": [],
"has_fulltext": true,
"id": "https://openalex.org/W2761565352",
"ids": {
"openalex": "https://openalex.org/W2761565352",
"doi": "https://doi.org/10.1086/694894",
"mag": "2761565352"
},
"indexed_in": [
"crossref"
],
"institutions_distinct_count": 1,
"is_paratext": false,
"is_retracted": false,
"keywords": [
{
"id": "https://openalex.org/keywords/stream-ecosystems",
"display_name": "Stream Ecosystems",
"score": 0.548658
},
{
"id": "https://openalex.org/keywords/biota",
"display_name": "Biota",
"score": 0.5477669
},
{
"id": "https://openalex.org/keywords/watershed-simulation",
"display_name": "Watershed Simulation",
"score": 0.531513
},
{
"id": "https://openalex.org/keywords/hydrological-modeling",
"display_name": "Hydrological Modeling",
"score": 0.52559
},
{
"id": "https://openalex.org/keywords/ecosystem-functioning",
"display_name": "Ecosystem Functioning",
"score": 0.512481
},
{
"id": "https://openalex.org/keywords/stream-restoration",
"display_name": "Stream restoration",
"score": 0.4689507
},
{
"id": "https://openalex.org/keywords/stressor",
"display_name": "Stressor",
"score": 0.4419917
}
],
"language": "en",
"locations": [
{
"is_oa": false,
"landing_page_url": "https://doi.org/10.1086/694894",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S2490919458",
"display_name": "Freshwater Science",
"issn_l": "2161-9549",
"issn": [
"2161-9549",
"2161-9565"
],
"is_oa": false,
"is_in_doaj": false,
"is_core": true,
"host_organization": "https://openalex.org/P4310315672",
"host_organization_name": "University of Chicago Press",
"host_organization_lineage": [
"https://openalex.org/P4310315690",
"https://openalex.org/P4310315672"
],
"host_organization_lineage_names": [
"University of Chicago",
"University of Chicago Press"
],
"type": "journal"
},
"license": null,
"license_id": null,
"version": null,
"is_accepted": false,
"is_published": false
}
],
"locations_count": 1,
"mesh": [],
"ngrams_url": "https://api.openalex.org/works/W2761565352/ngrams",
"open_access": {
"is_oa": false,
"oa_status": "closed",
"oa_url": null,
"any_repository_has_fulltext": false
},
"primary_location": {
"is_oa": false,
"landing_page_url": "https://doi.org/10.1086/694894",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S2490919458",
"display_name": "Freshwater Science",
"issn_l": "2161-9549",
"issn": [
"2161-9549",
"2161-9565"
],
"is_oa": false,
"is_in_doaj": false,
"is_core": true,
"host_organization": "https://openalex.org/P4310315672",
"host_organization_name": "University of Chicago Press",
"host_organization_lineage": [
"https://openalex.org/P4310315690",
"https://openalex.org/P4310315672"
],
"host_organization_lineage_names": [
"University of Chicago",
"University of Chicago Press"
],
"type": "journal"
},
"license": null,
"license_id": null,
"version": null,
"is_accepted": false,
"is_published": false
},
"primary_topic": {
"id": "https://openalex.org/T10669",
"display_name": "Influence of Land Use on Stream Ecosystems",
"score": 0.9988,
"subfield": {
"id": "https://openalex.org/subfields/2303",
"display_name": "Ecology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
"publication_date": "2017-12-01",
"publication_year": 2017,
"referenced_works": [
"https://openalex.org/W1483108686",
"https://openalex.org/W1580636600",
"https://openalex.org/W1591940727",
"https://openalex.org/W1596873716",
"https://openalex.org/W1963236545",
"https://openalex.org/W1964396812",
"https://openalex.org/W1964581329",
"https://openalex.org/W1967143401",
"https://openalex.org/W1968238257",
"https://openalex.org/W1973213075",
"https://openalex.org/W1985341137",
"https://openalex.org/W1989482084",
"https://openalex.org/W2000515215",
"https://openalex.org/W2006441020",
"https://openalex.org/W2006536258",
"https://openalex.org/W2023002266",
"https://openalex.org/W2026018484",
"https://openalex.org/W2029355800",
"https://openalex.org/W2054635659",
"https://openalex.org/W2055916015",
"https://openalex.org/W2060653538",
"https://openalex.org/W2061866955",
"https://openalex.org/W2079082942",
"https://openalex.org/W2082612656",
"https://openalex.org/W2083023281",
"https://openalex.org/W2087902688",
"https://openalex.org/W2099534828",
"https://openalex.org/W2106255656",
"https://openalex.org/W2112967520",
"https://openalex.org/W2121414541",
"https://openalex.org/W2122919032",
"https://openalex.org/W2125360150",
"https://openalex.org/W2130637110",
"https://openalex.org/W2133447547",
"https://openalex.org/W2135695572",
"https://openalex.org/W2140828853",
"https://openalex.org/W2148125540",
"https://openalex.org/W2154188458",
"https://openalex.org/W2155901692",
"https://openalex.org/W2161548576",
"https://openalex.org/W2161554297",
"https://openalex.org/W2168196608",
"https://openalex.org/W2168213791",
"https://openalex.org/W2177299793",
"https://openalex.org/W2235066742",
"https://openalex.org/W2261990974",
"https://openalex.org/W2381106061",
"https://openalex.org/W2412222705",
"https://openalex.org/W2524870512",
"https://openalex.org/W2530222211",
"https://openalex.org/W2550829587",
"https://openalex.org/W2615481377",
"https://openalex.org/W78340207"
],
"referenced_works_count": 53,
"related_works": [
"https://openalex.org/W4281850401",
"https://openalex.org/W3004252519",
"https://openalex.org/W3000718634",
"https://openalex.org/W2767971035",
"https://openalex.org/W2531896008",
"https://openalex.org/W2319117237",
"https://openalex.org/W2241994298",
"https://openalex.org/W2171703285",
"https://openalex.org/W2110501781",
"https://openalex.org/W2056332531"
],
"sustainable_development_goals": [
{
"display_name": "Life on land",
"score": 0.49,
"id": "https://metadata.un.org/sdg/15"
}
],
"title": "Multistressor predictive models of invertebrate condition in the Corn Belt, USA",
"topics": [
{
"id": "https://openalex.org/T10669",
"display_name": "Influence of Land Use on Stream Ecosystems",
"score": 0.9988,
"subfield": {
"id": "https://openalex.org/subfields/2303",
"display_name": "Ecology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10330",
"display_name": "Hydrological Modeling and Water Resource Management",
"score": 0.9986,
"subfield": {
"id": "https://openalex.org/subfields/2312",
"display_name": "Water Science and Technology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11311",
"display_name": "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems",
"score": 0.9984,
"subfield": {
"id": "https://openalex.org/subfields/2304",
"display_name": "Environmental Chemistry"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
}
],
"type": "article",
"type_crossref": "journal-article",
"updated_date": "2024-08-09T19:26:48.218825",
"versions": []
}
}