{"id":"W7131287876","doi":"10.25549/wpacards-ouc11572198","title":"WPA household census for 7600 ANAHEIM TELEGRAPH RD, 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); Value (mathematics); 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":[0.0005971444,0.001292015,0.001000418,0.003684714,0.0005814165,0.002044281,0.001383379,0.0005033013,0.08560794],"category_scores_gemma":[0.003894691,0.0005906549,0.0005321484,0.009897433,0.000186945,0.001265717,0.0008944039,0.001440792,0.09958456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942713,"about_ca_system_score_gemma":0.003689358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1379479,"about_ca_topic_score_gemma":0.1561065,"domain_scores_codex":[0.9991851,0.00009573632,0.0001027871,0.0002477941,0.0002729532,0.00009553376],"domain_scores_gemma":[0.9977823,0.00027047,0.0002374167,0.0002528518,0.001302769,0.0001541824],"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":[0.000006181698,0.000005340668,0.000677289,0.00009295785,0.000006427612,0.000005939763,0.00000948179,0.00004750535,0.000007389709,0.0001968182,0.9974474,0.001497332],"study_design_scores_gemma":[0.00005285377,0.000006221057,0.01351272,0.0002661376,0.00001753274,0.00002601776,0.0001484598,0.0002095857,0.00006664707,0.0004165033,0.985262,0.00001541422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000119468,0.00004722799,0.00003775721,0.00003938587,0.00001303969,0.000007096096,0.9984276,0.00005041789,0.001258065],"genre_scores_gemma":[0.0004786164,0.0001221141,0.0001313271,0.00002935451,0.00001026213,0.00007857817,0.9964371,0.00003489559,0.002677848],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1379479,"threshold_uncertainty_score":0.2863871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334566363884695,"score_gpt":0.1729284317513719,"score_spread":0.159582768112525,"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."}}