{"id":"W6964455238","doi":"10.25549/wpacards-m84491","title":"WPA block face card for household census of O'Farrell, Centre, Sepulveda, Mesa 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; Mesa; 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":[0.0005156868,0.001470985,0.001280869,0.004389347,0.000645728,0.00183693,0.001907037,0.0009724114,0.09769257],"category_scores_gemma":[0.004448376,0.0007709302,0.0006955416,0.01001774,0.0002272539,0.001092901,0.001208005,0.001256642,0.1084249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587902,"about_ca_system_score_gemma":0.003448042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.139247,"about_ca_topic_score_gemma":0.1973436,"domain_scores_codex":[0.9993669,0.00005831679,0.00008332458,0.0001768809,0.0001894391,0.0001251917],"domain_scores_gemma":[0.9975662,0.0003063126,0.0003121688,0.0003632151,0.001210728,0.0002414475],"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":[0.00002512213,0.00001036933,0.001129526,0.0001363668,0.00000978472,0.000008667284,0.00001618621,0.0001058795,0.00002436414,0.000149334,0.996707,0.001677422],"study_design_scores_gemma":[0.000140286,0.00001338272,0.03067658,0.0002903663,0.00002730423,0.00004956376,0.0002413098,0.0005368072,0.0002973176,0.000551398,0.96714,0.00003576695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001061622,0.0000109285,0.0000262622,0.00001352714,0.000006045515,0.000005942418,0.9992598,0.00006119605,0.0005102113],"genre_scores_gemma":[0.0003783473,0.00002728042,0.0001033439,0.00001289708,0.000003878266,0.00005851606,0.9978536,0.00002379565,0.001538273],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.139247,"threshold_uncertainty_score":0.3268142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342634443858215,"score_gpt":0.1760983104574573,"score_spread":0.1626719660188752,"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."}}