{"id":"W6945539858","doi":"10.25549/wpacards-m24784","title":"WPA block face card for household census of Hoefner, Eagle, Eastmont Streets, in Los Angeles County","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Data Management and Algorithms","field":"Computer Science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000967341,0.0003183018,0.0004935738,0.0002968409,0.00005834965,0.0001352086,0.002004294,0.0001965601,0.000009024101],"category_scores_gemma":[0.000011922,0.0003315365,0.000217786,0.0003058434,0.0001638212,0.001040286,0.001346392,0.0001904586,0.00006100894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003319082,"about_ca_system_score_gemma":0.00008811895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001419145,"about_ca_topic_score_gemma":0.00002368752,"domain_scores_codex":[0.9984427,0.00003244067,0.0003092442,0.0004580726,0.0003761521,0.0003813558],"domain_scores_gemma":[0.9985868,0.00008436731,0.000389464,0.0007631175,0.00003197304,0.0001442777],"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":[0.00005481271,0.0002487144,0.001054022,0.000318058,0.00006691948,0.00003366106,0.00001520563,0.00002570157,5.95489e-7,0.00002511619,0.9950992,0.003057993],"study_design_scores_gemma":[0.0005707965,0.00003999792,0.00004203876,0.0001512237,0.00005144198,0.000001450062,0.0004267576,0.0003720121,0.00001123328,0.00006547731,0.9979257,0.0003418942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005123501,0.0002278768,0.0007768188,0.00004521897,0.00007587235,0.0003422298,0.997661,0.00007755646,0.0002810676],"genre_scores_gemma":[0.0008813673,0.00006310113,0.001280871,0.00003439543,0.00007666043,5.924803e-7,0.9973774,0.00002570801,0.0002599196],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.002826476,"threshold_uncertainty_score":0.9999137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354057105110043,"score_gpt":0.170883028974685,"score_spread":0.1573424579235846,"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."}}