{"id":"W6889463808","doi":"10.25549/wpacards-m36898","title":"WPA block face card for household census of Florence, St. Andrews, 73rd 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); 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":[0.0004402276,0.001196899,0.001063084,0.003708338,0.0006296482,0.001582132,0.001739932,0.0006746931,0.1005087],"category_scores_gemma":[0.003530489,0.000608645,0.0004746088,0.008945421,0.000186998,0.0009968142,0.001003897,0.001031783,0.0935916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621663,"about_ca_system_score_gemma":0.002856713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1691737,"about_ca_topic_score_gemma":0.2354782,"domain_scores_codex":[0.999436,0.00005199424,0.00007010374,0.0001523269,0.0001804505,0.0001091491],"domain_scores_gemma":[0.9976714,0.000222829,0.0002927753,0.0002825768,0.00132476,0.0002055124],"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":[0.00002183264,0.000008028663,0.001084111,0.000109121,0.000006486227,0.000007654628,0.00001389137,0.00005827364,0.00002067418,0.0001558371,0.9971277,0.001386497],"study_design_scores_gemma":[0.0001270943,0.0000131582,0.03540357,0.0002547513,0.00002324222,0.00003940745,0.0002443806,0.0003510337,0.000314407,0.0003693432,0.9628305,0.00002901519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001610976,0.00001416095,0.0000320742,0.00001790644,0.000006136865,0.000008977782,0.9986861,0.00006469572,0.001008904],"genre_scores_gemma":[0.0005885843,0.00003117884,0.0001003689,0.00001559357,0.00000526686,0.00007779117,0.9969562,0.00002678822,0.002198124],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1691737,"threshold_uncertainty_score":0.336378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530927706456915,"score_gpt":0.179886170762621,"score_spread":0.1645768936980519,"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."}}