{"id":"W7131211253","doi":"10.25549/wpacards-c8-162291","title":"WPA household census for 751 1/2 SOUTH ARIZONA 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":[0.0006828038,0.001315794,0.001094251,0.003314052,0.0005828334,0.001937476,0.001409691,0.0005513226,0.08502028],"category_scores_gemma":[0.004227266,0.0006313385,0.0005595498,0.009920773,0.0001896532,0.001222606,0.0008962854,0.001494346,0.09925149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001903859,"about_ca_system_score_gemma":0.003518005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1212888,"about_ca_topic_score_gemma":0.1321186,"domain_scores_codex":[0.9991673,0.0001033268,0.0001095605,0.0002393985,0.0002801028,0.0001002122],"domain_scores_gemma":[0.9977322,0.0002871056,0.0002302075,0.0002560784,0.001332636,0.0001617389],"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":[0.000006712437,0.000006116327,0.0007113567,0.0001051257,0.000007186698,0.000006258327,0.00001095454,0.000050164,0.000008661625,0.0002233969,0.9973545,0.001509632],"study_design_scores_gemma":[0.00006385035,0.000007052894,0.01642544,0.0003145373,0.0000206095,0.00002913329,0.0001784151,0.0002320885,0.00008216212,0.0005029528,0.9821271,0.00001663128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001190903,0.00004748916,0.00004109535,0.0000393756,0.0000134103,0.000008457889,0.9984415,0.0000424308,0.001247231],"genre_scores_gemma":[0.0005291181,0.0001306549,0.0001503861,0.0000338,0.00001065496,0.00009686166,0.9964405,0.00003557752,0.002572512],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1212888,"threshold_uncertainty_score":0.2844211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471355710069014,"score_gpt":0.1717937741160781,"score_spread":0.1570802170153879,"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."}}