{"id":"W7131295817","doi":"10.25549/wpacards-ouc11588585","title":"WPA household census for 4923 JILLSON ST, 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":[0.0006273734,0.00115028,0.000992252,0.003128493,0.0005559929,0.001756001,0.001296458,0.0004967398,0.08023071],"category_scores_gemma":[0.003839094,0.0005357698,0.0005041694,0.008611293,0.0001742367,0.001100318,0.0008766238,0.001330305,0.08812913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001766677,"about_ca_system_score_gemma":0.003339529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.12875,"about_ca_topic_score_gemma":0.1518709,"domain_scores_codex":[0.9992552,0.00009806999,0.00009564475,0.0002154687,0.0002473845,0.00008815738],"domain_scores_gemma":[0.9978753,0.0002535752,0.0002133554,0.0002386602,0.001273071,0.0001459719],"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":[0.000006875326,0.000005249397,0.0007297915,0.0000959199,0.000006945446,0.000006307307,0.00001100578,0.00004578795,0.000007659397,0.0002113776,0.9973428,0.001530317],"study_design_scores_gemma":[0.00005559196,0.000006076761,0.01459842,0.0002701805,0.00001711061,0.00002674894,0.0001662491,0.0002016244,0.00006381483,0.0004366974,0.9841426,0.00001486009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001383162,0.00005332266,0.00004352118,0.00004826015,0.00001501803,0.000008104347,0.9983652,0.00004560728,0.001282589],"genre_scores_gemma":[0.000556057,0.0001330437,0.0001356745,0.00003698028,0.00001115976,0.000095001,0.9960276,0.00003563968,0.002968875],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.12875,"threshold_uncertainty_score":0.2683985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429847517754367,"score_gpt":0.1757317820338627,"score_spread":0.1614333068563191,"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."}}