{"id":"W6889336392","doi":"10.25549/wpacards-m83006","title":"WPA block face card for household census of 91st, Avalon, 92nd 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":[0.0005380418,0.001566445,0.001251918,0.005102103,0.0007493058,0.001855997,0.001953401,0.0009809653,0.1069972],"category_scores_gemma":[0.004152557,0.0008755378,0.0006736384,0.01147426,0.0002162575,0.001125384,0.001176227,0.001289404,0.1170712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739516,"about_ca_system_score_gemma":0.003928678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1882162,"about_ca_topic_score_gemma":0.256291,"domain_scores_codex":[0.9992841,0.00005946591,0.00009183526,0.000185066,0.0002310417,0.000148429],"domain_scores_gemma":[0.9971835,0.0002707876,0.0003996676,0.0003540057,0.001520444,0.000271679],"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":[0.00002763749,0.00001369698,0.001537371,0.0001239891,0.000009686049,0.000009246849,0.00001827236,0.00009076257,0.00002521333,0.0001192565,0.9964233,0.00160154],"study_design_scores_gemma":[0.0001856995,0.00001831307,0.04856362,0.0002958563,0.00003479524,0.00004814784,0.000327553,0.00053446,0.0003507528,0.0004142112,0.9491835,0.00004304653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001566261,0.00001100579,0.0000263484,0.00001404888,0.000006139233,0.000009082687,0.9990906,0.00005903161,0.000627187],"genre_scores_gemma":[0.0004931385,0.00002897092,0.00009615135,0.00001636526,0.000004904076,0.00009172367,0.9968721,0.00002580401,0.00237092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1882162,"threshold_uncertainty_score":0.3742414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532542272101511,"score_gpt":0.1788720300276036,"score_spread":0.1635466073065885,"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."}}