{"id":"W6964230834","doi":"10.25549/wpacards-m84425","title":"WPA block face card for household census of Colden, 97th, Hoover 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":[0.0004842893,0.001524961,0.001225866,0.004772472,0.000720746,0.001817616,0.001872678,0.0009374312,0.1009142],"category_scores_gemma":[0.003761793,0.0008101221,0.0006458175,0.01064513,0.0002115031,0.001049743,0.001136834,0.001190698,0.1100311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655757,"about_ca_system_score_gemma":0.003643924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1930111,"about_ca_topic_score_gemma":0.265201,"domain_scores_codex":[0.9993512,0.00005420531,0.00008135878,0.000176046,0.0001997638,0.000137359],"domain_scores_gemma":[0.9975523,0.0002403909,0.0003474866,0.00032276,0.001283557,0.0002534636],"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":[0.00002703575,0.0000124062,0.00150798,0.0001214138,0.000009694721,0.000009945072,0.00001804536,0.00009132584,0.00002676809,0.0001112937,0.9964389,0.001625155],"study_design_scores_gemma":[0.0001658556,0.00001724083,0.04785462,0.0002955528,0.00003419279,0.00005127516,0.0003224483,0.0005370749,0.0003646539,0.0003894836,0.949926,0.00004167838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001694416,0.00001253474,0.00002689934,0.00001399681,0.000006326467,0.000008590932,0.9990728,0.00005859851,0.0006307319],"genre_scores_gemma":[0.0005212511,0.00003003778,0.0000913597,0.0000156165,0.000005118936,0.00008523485,0.9969528,0.00002450338,0.00227395],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1930111,"threshold_uncertainty_score":0.3837752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452950386859797,"score_gpt":0.1781160967544641,"score_spread":0.1635865928858662,"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."}}