{"id":"W6964508114","doi":"10.25549/wpacards-c8-162592","title":"WPA household census for 709 SOUTH VANCOUVER AVE, Los Angeles County","year":2015,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Population; Work (physics); Data collection; Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000574465,0.001344125,0.001362815,0.005273934,0.0007946346,0.001535261,0.001744606,0.0007009369,0.05533067],"category_scores_gemma":[0.003913329,0.0009568376,0.0006733096,0.01392243,0.0002204955,0.0009268581,0.001023769,0.001296372,0.03829727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002806062,"about_ca_system_score_gemma":0.007548994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4782806,"about_ca_topic_score_gemma":0.5378811,"domain_scores_codex":[0.9993001,0.00005513187,0.0001048174,0.0001844688,0.0002326069,0.0001228387],"domain_scores_gemma":[0.9973962,0.0002426356,0.0003382909,0.000232759,0.001496567,0.0002935499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003081005,0.00001568212,0.003468938,0.0002090451,0.00002975223,0.00001435966,0.00002899055,0.0001746975,0.00002150886,0.000218725,0.9934214,0.00236613],"study_design_scores_gemma":[0.0002129353,0.00001551322,0.1002433,0.000533091,0.00007040415,0.00005549793,0.0003677177,0.0005663921,0.0002361598,0.0005835549,0.8970742,0.00004109596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002573691,0.00003638405,0.00002683803,0.00001766754,0.000007501739,0.0000100416,0.9988956,0.00003528838,0.0007131894],"genre_scores_gemma":[0.001015055,0.0001093835,0.0001160734,0.000023959,0.000006388022,0.0001128773,0.9958559,0.00002496932,0.002735454],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4782806,"threshold_uncertainty_score":0.9509935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107915006142159,"score_gpt":0.1586384447604869,"score_spread":0.1475592946990653,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}