{"id":"W6964375908","doi":"10.25549/wpacards-c8-141103","title":"WPA block face card for household census (block 214) in Los Angeles","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); Population","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":[0.0006446716,0.001630297,0.001284431,0.005076361,0.0008284225,0.002060249,0.002006272,0.001255785,0.1112512],"category_scores_gemma":[0.005436921,0.0008633186,0.0007203628,0.009114162,0.0003030476,0.001344812,0.001647371,0.001379404,0.1404356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001869444,"about_ca_system_score_gemma":0.004026683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1461052,"about_ca_topic_score_gemma":0.1970651,"domain_scores_codex":[0.9990972,0.00009540836,0.000105233,0.0002290031,0.0002894901,0.0001835999],"domain_scores_gemma":[0.996716,0.0003779917,0.0004203384,0.0005522391,0.001617357,0.0003161026],"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":[0.000025761,0.00001270899,0.001088182,0.00009438553,0.000008828549,0.000008475535,0.00001308216,0.00009939831,0.00002362333,0.0001298519,0.9970165,0.001479135],"study_design_scores_gemma":[0.0001335106,0.00001403708,0.02248821,0.0002316336,0.00002360134,0.00003818572,0.0002158452,0.0006088421,0.0003257707,0.0004934595,0.9753877,0.00003925326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002042073,0.00001514757,0.00003470721,0.00002461603,0.00001073348,0.000009292822,0.9987813,0.0001161064,0.0008038465],"genre_scores_gemma":[0.0004273541,0.00002619423,0.0001061278,0.00001735693,0.000005480669,0.0000729262,0.9971938,0.00003155436,0.002119165],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1461052,"threshold_uncertainty_score":0.3721724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306007976141755,"score_gpt":0.175748004683736,"score_spread":0.1626879249223184,"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."}}