{"id":"W7131265733","doi":"10.25549/wpacards-ouc11573132","title":"WPA household census for 6932 CHANSLOR 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; American Community Survey; Administration (probate law); 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":[0.0006636019,0.001206926,0.001035172,0.003072883,0.0005748653,0.001854576,0.001346398,0.0005164921,0.07736105],"category_scores_gemma":[0.004143646,0.0005614629,0.0005317276,0.008367763,0.0001828203,0.00122298,0.0009133448,0.001428738,0.08882932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001833625,"about_ca_system_score_gemma":0.003531632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1318037,"about_ca_topic_score_gemma":0.146947,"domain_scores_codex":[0.9992268,0.0001012308,0.0001019813,0.0002275265,0.0002515354,0.00009094098],"domain_scores_gemma":[0.9976963,0.000268511,0.0002265912,0.0002425934,0.001411467,0.0001544549],"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":[0.000006873839,0.000005286116,0.0007284419,0.00009649665,0.000006766928,0.000006207929,0.00001013663,0.00004449321,0.000006977686,0.0002097988,0.9973847,0.001493769],"study_design_scores_gemma":[0.0000646732,0.000006609745,0.01443195,0.0002968698,0.00001867985,0.00002809655,0.0001609904,0.0002188903,0.00006326885,0.0004785386,0.9842151,0.0000162827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001205762,0.0000527519,0.00004290372,0.00004951945,0.00001450489,0.000008137182,0.9984697,0.00004608761,0.001195908],"genre_scores_gemma":[0.0005614998,0.0001366359,0.0001464635,0.00003888704,0.00001142057,0.00009671845,0.9962994,0.00003575704,0.00267328],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1318037,"threshold_uncertainty_score":0.2620732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577477246143835,"score_gpt":0.1754121288457201,"score_spread":0.1596373563842818,"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."}}