{"id":"W7131291149","doi":"10.25549/wpacards-ouc11580360","title":"WPA household census for 240 SOUTH GAGE AVE, Los Angeles County","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Quarter (Canadian coin); Data collection; Administration (probate law); American Community Survey; Value (mathematics)","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":[0.0006751858,0.001201217,0.001064008,0.003107466,0.0005792569,0.001898126,0.001392755,0.0005321301,0.07978058],"category_scores_gemma":[0.004297023,0.0005954527,0.000534226,0.008891515,0.000188346,0.001268836,0.0009342462,0.001502285,0.09102829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815169,"about_ca_system_score_gemma":0.003510494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.122029,"about_ca_topic_score_gemma":0.1273147,"domain_scores_codex":[0.9992094,0.0001021066,0.0001087685,0.0002316512,0.0002531124,0.00009489563],"domain_scores_gemma":[0.9975998,0.00028537,0.0002391488,0.000247298,0.001471976,0.0001563636],"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":[0.000006786679,0.000005299452,0.0006839598,0.0001020301,0.000006885629,0.000006428453,0.00001039109,0.00004312438,0.000007142054,0.0002257572,0.9974495,0.001452773],"study_design_scores_gemma":[0.00006510354,0.00000670588,0.01448369,0.0002991991,0.00001910328,0.00002990951,0.0001646056,0.0002035488,0.0000637172,0.0004992994,0.9841487,0.00001643106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001126391,0.00005205529,0.00004195505,0.00005011134,0.00001516185,0.000008627795,0.9984534,0.00004494599,0.001221236],"genre_scores_gemma":[0.0005629911,0.0001444655,0.0001529412,0.00004202663,0.00001260175,0.0001021824,0.9963225,0.00003706635,0.002623198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.122029,"threshold_uncertainty_score":0.2668926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569531809736873,"score_gpt":0.1733858472308849,"score_spread":0.1576905291335161,"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."}}