{"id":"W6926811791","doi":"10.25549/wpacards-c8-147333","title":"WPA block face card for household census (block 418) 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":[0.000609368,0.001614764,0.001255548,0.005144173,0.000814026,0.00199972,0.001903387,0.001177959,0.1151994],"category_scores_gemma":[0.005072966,0.0008308502,0.0006952821,0.009369879,0.0002942095,0.001305374,0.001590833,0.001314062,0.1438939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815131,"about_ca_system_score_gemma":0.003914223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1461449,"about_ca_topic_score_gemma":0.1981586,"domain_scores_codex":[0.9991459,0.00008940531,0.00009838186,0.0002192601,0.0002715879,0.0001754653],"domain_scores_gemma":[0.9969471,0.0003489314,0.0003853308,0.0005225826,0.00149533,0.0003008243],"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":[0.0000253233,0.00001227132,0.001050374,0.00009580039,0.00000863348,0.000008532051,0.00001390391,0.00009722933,0.00002418624,0.0001280581,0.9969773,0.001558441],"study_design_scores_gemma":[0.0001222375,0.00001288523,0.02106515,0.0002137558,0.00002252596,0.00003589807,0.000213222,0.0005505825,0.000304037,0.0004702252,0.9769524,0.00003702746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000198324,0.00001522156,0.00003452973,0.00002354577,0.00001010992,0.000009363556,0.9987614,0.0001150068,0.0008325372],"genre_scores_gemma":[0.0004355082,0.0000279907,0.0001099426,0.00001723375,0.000005669463,0.00007635316,0.9970487,0.00003202915,0.002246658],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1461449,"threshold_uncertainty_score":0.3853806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361339038799719,"score_gpt":0.1756594658155034,"score_spread":0.1620460754275062,"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."}}