{"id":"W6908120813","doi":"10.25549/wpacards-c8-117301","title":"WPA block face card for household census (block 2311) 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":[0.0005953372,0.001619794,0.001278337,0.005008872,0.0008059623,0.001967172,0.001899384,0.001199253,0.1138116],"category_scores_gemma":[0.004955859,0.0008180747,0.0006953491,0.009265286,0.0002923141,0.001273194,0.001569909,0.001297712,0.1436625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810213,"about_ca_system_score_gemma":0.003914028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.148021,"about_ca_topic_score_gemma":0.2017446,"domain_scores_codex":[0.9991595,0.00008723993,0.00009545452,0.0002200931,0.0002647926,0.0001730137],"domain_scores_gemma":[0.9970602,0.0003400328,0.0003647407,0.0005044845,0.00143412,0.0002962941],"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":[0.00002476898,0.00001211723,0.001032372,0.00009666432,0.000008632614,0.000008460445,0.00001331039,0.00009952593,0.0000243253,0.0001250837,0.9970009,0.001553892],"study_design_scores_gemma":[0.0001265914,0.00001315914,0.02153301,0.0002185352,0.00002287379,0.00003709636,0.0002136353,0.0005985842,0.0003130381,0.0004821788,0.9764034,0.00003789887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001968686,0.00001561592,0.00003371116,0.0000236217,0.00001005475,0.000009086589,0.9987898,0.0001132586,0.0008079788],"genre_scores_gemma":[0.0004314132,0.00002820833,0.0001065374,0.00001682709,0.000005521856,0.00007147465,0.9971923,0.00003064924,0.002117029],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.148021,"threshold_uncertainty_score":0.3807378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314254289621606,"score_gpt":0.1756995886676387,"score_spread":0.1625570457714227,"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."}}