{"id":"W6908030869","doi":"10.25549/wpacards-m65680","title":"WPA block face card for household census of Figueroa, Denver 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); Quarter (Canadian coin); Face (sociological concept)","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":[0.0004028664,0.001377898,0.001139524,0.004491904,0.0006228648,0.001582581,0.00161911,0.0007959733,0.0960492],"category_scores_gemma":[0.003316884,0.0006522805,0.0005708777,0.009238441,0.000193032,0.0009556608,0.001026084,0.0009933846,0.1077619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001378691,"about_ca_system_score_gemma":0.002980555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1560455,"about_ca_topic_score_gemma":0.2360808,"domain_scores_codex":[0.9994697,0.00004489736,0.00006187533,0.000155445,0.0001601626,0.0001080462],"domain_scores_gemma":[0.9980618,0.0002156529,0.0002518255,0.0002788287,0.0009898853,0.0002018445],"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":[0.0000231324,0.00001115328,0.001407591,0.0001153288,0.000008471167,0.000009561402,0.00001686651,0.00009467116,0.00002939314,0.000113759,0.9962158,0.001954168],"study_design_scores_gemma":[0.0001225886,0.00001347623,0.03690548,0.0002499617,0.00002660013,0.00004846802,0.0002739662,0.0005514426,0.0003348263,0.0003840419,0.9610555,0.00003367495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001788433,0.00001347408,0.00002977774,0.00001371702,0.000006694752,0.000007662451,0.998941,0.00007456235,0.0007342335],"genre_scores_gemma":[0.000522192,0.00002969136,0.0001011226,0.00001295107,0.000004707299,0.00007002658,0.9973879,0.00002460118,0.00184676],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1560455,"threshold_uncertainty_score":0.3213166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601261567541675,"score_gpt":0.1786187080336866,"score_spread":0.1626060923582698,"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."}}