Item talk:Q336732

From geokb

{

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   "description": [
     {
       "@type": "TextObject",
       "additionalType": "description",
       "abstract": "NEIC Machine Learning Applications contains various seismic machine learning algorithms developed and used by the United States Geological Survey, National Earthquake Information Center. These algorithms apply machine learning techniques to seismic processing problems such as seismic phase classification, source-receiver distance classification, and seismic wave arrival time repicking."
     },
     {
       "@type": "TextObject",
       "additionalType": "short description",
       "abstract": "Model item published in 2018 sourced from the USGS Model Catalog"
     }
   ],
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       "additionalType": "item",
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       "propertyID": "P7",
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       "disambiguatingDescription": "add reference",
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     },
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       "@type": "PropertyValue",
       "additionalType": "item",
       "alternateName": "author",
       "name": "William L. Yeck",
       "propertyID": "P102",
       "value": "Q54903",
       "disambiguatingDescription": "add reference"
     },
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     },
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       "@type": "PropertyValue",
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       "value": "Q159027",
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     },
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       "value": "Q169132",
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     },
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       "name": "10.1785/0220200178",
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       "value": "Q256807",
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     },
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       "name": "10.5066/p9ohf4wl",
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       "name": "John Patton",
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 }

}