{"id":"W7131252400","doi":"10.25549/wpacards-ouc11587195","title":"WPA household census for 736 1/2 SOUTH DUNCAN 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":[0.0007028714,0.001303739,0.001102553,0.003277662,0.0006156077,0.001941867,0.001457407,0.0005320688,0.08309937],"category_scores_gemma":[0.00426295,0.0006200469,0.0005701725,0.01021945,0.0001986112,0.001229411,0.0009083253,0.001511653,0.1010731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002065845,"about_ca_system_score_gemma":0.003899682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1409945,"about_ca_topic_score_gemma":0.1501243,"domain_scores_codex":[0.9991443,0.0001062999,0.0001122885,0.000242973,0.0002884917,0.0001055579],"domain_scores_gemma":[0.9975591,0.0002913895,0.00024818,0.0002618311,0.001470424,0.0001691008],"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":[0.000006815272,0.000005800767,0.0006841408,0.00009938349,0.000006611254,0.00000594149,0.00001101746,0.0000433588,0.000007567316,0.0001983021,0.9975023,0.001428722],"study_design_scores_gemma":[0.00006566897,0.000007250632,0.01609637,0.0003083565,0.00002012049,0.00002721437,0.0001922583,0.0002118226,0.00007437041,0.0004612775,0.9825186,0.00001673102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001242621,0.00004724111,0.00004092829,0.00004211556,0.00001306349,0.000008564909,0.9984602,0.00004387833,0.001219864],"genre_scores_gemma":[0.0005594543,0.000138195,0.0001522776,0.0000355661,0.00001139994,0.0001063643,0.9961015,0.00003825713,0.0028571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1409945,"threshold_uncertainty_score":0.2803476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450381293409687,"score_gpt":0.1715885828360017,"score_spread":0.1570847699019048,"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."}}