{"id":"W6908196395","doi":"10.25549/wpacards-m36894","title":"WPA block face card for household census (block 1095) 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":[0.0006068268,0.001607552,0.001347803,0.005965591,0.0008337522,0.002155024,0.001749782,0.001092746,0.1184197],"category_scores_gemma":[0.004933613,0.0009517614,0.0006624004,0.01369663,0.0002365881,0.001289472,0.001397182,0.001288739,0.1422962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002014183,"about_ca_system_score_gemma":0.004390892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2095664,"about_ca_topic_score_gemma":0.2555053,"domain_scores_codex":[0.9991099,0.00007698597,0.0001149916,0.0002222684,0.0002961908,0.0001796293],"domain_scores_gemma":[0.9965591,0.0003405723,0.0004674331,0.000463681,0.001835549,0.0003336611],"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":[0.00002763388,0.0000128138,0.001308503,0.0001191137,0.000009504157,0.000009997242,0.00001951423,0.00009598638,0.00002702898,0.0001365681,0.996577,0.001656411],"study_design_scores_gemma":[0.0001282286,0.00001398958,0.03343644,0.0002309141,0.00002906018,0.00003614667,0.0002638822,0.000456414,0.0003341851,0.0003891077,0.9646435,0.00003811632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001756285,0.00001294133,0.00002708424,0.00001849205,0.000007449216,0.000008816543,0.9988153,0.00007943693,0.0008549708],"genre_scores_gemma":[0.0004870472,0.00003194171,0.0001046811,0.00001779332,0.00000547346,0.00008221759,0.9962734,0.00003348631,0.002964028],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2095664,"threshold_uncertainty_score":0.4166932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556089281200565,"score_gpt":0.1795362067311446,"score_spread":0.1639753139191389,"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."}}