{"id":"W6908112368","doi":"10.25549/wpacards-c8-120861","title":"WPA block face card for household census (block 1796) in Los Angeles County","year":2014,"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":[0.0006220301,0.001412215,0.001196595,0.005708829,0.0008258074,0.002015697,0.001816225,0.001052034,0.1022791],"category_scores_gemma":[0.005337823,0.000865136,0.0006325386,0.01244608,0.0002679923,0.001259801,0.001536456,0.001208832,0.1147366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001999432,"about_ca_system_score_gemma":0.004683087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1994987,"about_ca_topic_score_gemma":0.2451144,"domain_scores_codex":[0.9990962,0.0000817285,0.0001124596,0.000221395,0.0003052554,0.0001829931],"domain_scores_gemma":[0.9964126,0.0003698795,0.0005057423,0.0004783662,0.001890511,0.0003429515],"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":[0.00003101524,0.00001468115,0.001896698,0.0001153969,0.00001127745,0.00001102951,0.00002067909,0.0001078827,0.00002930362,0.0001590988,0.9958242,0.001778859],"study_design_scores_gemma":[0.0001344743,0.00001473176,0.03858446,0.0002562546,0.00003026932,0.00003936825,0.0003059511,0.0005018976,0.0003462255,0.0004483885,0.9592987,0.00003922745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002451589,0.00001448384,0.00002955051,0.00002110665,0.000008957531,0.000009806767,0.9987442,0.00007325939,0.0008533912],"genre_scores_gemma":[0.0006123054,0.00003383002,0.0001118524,0.00001991725,0.00000614747,0.0000888978,0.9962704,0.00003108841,0.002825437],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1994987,"threshold_uncertainty_score":0.3966751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241847900647348,"score_gpt":0.1744018253203191,"score_spread":0.1619833463138456,"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."}}