{"id":"W7131299703","doi":"10.25549/wpacards-c8-164376","title":"WPA household census for 3976 E 3RD 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; Administration (probate law); American Community Survey","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":[0.000642263,0.001248224,0.001076126,0.002959113,0.0005655597,0.001831357,0.001357134,0.0005496643,0.08344103],"category_scores_gemma":[0.004130899,0.0005476295,0.0005476051,0.008293296,0.0001848292,0.001210649,0.0009185405,0.001429227,0.1021666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001721121,"about_ca_system_score_gemma":0.003305577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1131157,"about_ca_topic_score_gemma":0.1277577,"domain_scores_codex":[0.9992363,0.0001007037,0.0001022813,0.0002266795,0.000244668,0.00008933218],"domain_scores_gemma":[0.9978207,0.0002563922,0.0002132083,0.0002500867,0.001316078,0.0001435759],"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":[0.000006862178,0.000005088141,0.000618545,0.00008980845,0.000005996622,0.000005715957,0.000008678478,0.00004127725,0.000007027168,0.0001906343,0.9976364,0.00138391],"study_design_scores_gemma":[0.00006158186,0.000006404156,0.01176765,0.0002766479,0.00001688276,0.00002700903,0.0001413454,0.0002100137,0.0000653786,0.0004813951,0.9869307,0.0000150379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001098604,0.00004628228,0.00004342281,0.00004814128,0.00001551593,0.000007912031,0.9983968,0.00004841842,0.001283547],"genre_scores_gemma":[0.0004922866,0.0001198679,0.000139025,0.00003900684,0.0000113094,0.00008818135,0.9963056,0.00003632905,0.002768389],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1131157,"threshold_uncertainty_score":0.2791381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150526792289467,"score_gpt":0.1758440663343704,"score_spread":0.1607913871054237,"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."}}