{"id":"W6889336349","doi":"10.25549/wpacards-m62788","title":"WPA block face card for household census of Crestwood, Elberon, Hanford Streets, in Los Angeles County","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Block (permutation group theory); Face (sociological concept); Quarter (Canadian coin)","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":[0.0004963677,0.001455801,0.001155114,0.004745483,0.0007174819,0.001728544,0.001870195,0.0008387734,0.1092336],"category_scores_gemma":[0.003608207,0.0008090028,0.0005997001,0.01060794,0.0001969783,0.001065037,0.001107303,0.00116002,0.1093971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682596,"about_ca_system_score_gemma":0.003626972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1838782,"about_ca_topic_score_gemma":0.249202,"domain_scores_codex":[0.9993539,0.00005408103,0.0000793916,0.0001707616,0.0002086138,0.000133286],"domain_scores_gemma":[0.9974939,0.0002365161,0.0003378636,0.0003032366,0.001384147,0.00024447],"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":[0.00002654972,0.00001246895,0.001425675,0.0001122432,0.000008574152,0.000009121952,0.00001840514,0.0000847361,0.0000278261,0.0001280632,0.9963952,0.001751092],"study_design_scores_gemma":[0.0001579957,0.00001642677,0.04772192,0.0002623005,0.00003022002,0.00004544292,0.0003079163,0.0005081721,0.0003785161,0.0003922788,0.9501399,0.00003877002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001720988,0.00001119499,0.00003363331,0.00001378384,0.000006213988,0.00001058438,0.9989248,0.00006207127,0.0007656307],"genre_scores_gemma":[0.0005421211,0.0000298398,0.0001125726,0.00001643434,0.000005168475,0.0001053405,0.9963738,0.00002830218,0.002786315],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1838782,"threshold_uncertainty_score":0.3656158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516741190061725,"score_gpt":0.1799174868593026,"score_spread":0.1647500749586853,"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."}}