{"id":"W6908543458","doi":"10.25549/wpacards-c8-119125","title":"WPA block face card for household census (block 1610) 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":[0.0006027283,0.001601858,0.001254057,0.00508465,0.0008041936,0.001994527,0.001904892,0.001168,0.1116269],"category_scores_gemma":[0.004968924,0.0008266089,0.0006788724,0.009349326,0.0002937689,0.001298735,0.001572293,0.001286097,0.1412343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0018347,"about_ca_system_score_gemma":0.003913464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1515796,"about_ca_topic_score_gemma":0.2057456,"domain_scores_codex":[0.9991577,0.00008749984,0.00009676042,0.0002179411,0.0002685804,0.0001715865],"domain_scores_gemma":[0.9970356,0.0003364586,0.0003663003,0.0004993276,0.001467213,0.0002950737],"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":[0.0000251431,0.00001231836,0.001065239,0.00009631847,0.000008699254,0.000008738943,0.00001419032,0.00009933416,0.00002459509,0.0001296086,0.9969406,0.001575282],"study_design_scores_gemma":[0.0001211282,0.00001308569,0.02219185,0.0002200016,0.00002280476,0.00003747455,0.0002204023,0.0005888739,0.0003162934,0.0004800889,0.9757498,0.00003818395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002065419,0.00001578608,0.0000346303,0.00002343715,0.00001019811,0.000009409835,0.9987383,0.0001149197,0.0008467265],"genre_scores_gemma":[0.0004430395,0.00002856379,0.000108585,0.0000168183,0.00000555357,0.00007377649,0.9970887,0.00003062251,0.002204276],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1515796,"threshold_uncertainty_score":0.3734294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328822940194964,"score_gpt":0.1756687832794066,"score_spread":0.162380553877457,"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."}}