{"id":"W6908250271","doi":"10.25549/wpacards-m36715","title":"WPA block face card for household census (block 88) 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":[0.000616501,0.001558414,0.001312808,0.005671971,0.0008323467,0.002104343,0.001768247,0.001133362,0.09661682],"category_scores_gemma":[0.005204885,0.0009264876,0.0006668122,0.01271703,0.0002366062,0.001235849,0.001389306,0.001307724,0.1256634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001895848,"about_ca_system_score_gemma":0.004236966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2101255,"about_ca_topic_score_gemma":0.2582949,"domain_scores_codex":[0.9990878,0.00008255992,0.000116078,0.0002331955,0.0002999323,0.0001804107],"domain_scores_gemma":[0.9963732,0.0003752511,0.0004936379,0.0005231462,0.001900576,0.0003341969],"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":[0.00002923191,0.00001436819,0.001588104,0.0001188482,0.00001036656,0.0000109077,0.00002134848,0.0001101452,0.00002907391,0.0001396669,0.9961764,0.001751627],"study_design_scores_gemma":[0.0001315877,0.00001475584,0.0381225,0.0002387139,0.00003072846,0.00004128941,0.0002734726,0.0005274466,0.0003533906,0.0003951868,0.9598302,0.00004078997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002155347,0.00001382825,0.00002918614,0.00001908713,0.000007376436,0.000008644439,0.9988361,0.00008423845,0.0007860211],"genre_scores_gemma":[0.000511868,0.00002909259,0.0001037356,0.00001698327,0.000004956616,0.00007983218,0.9966841,0.0000309645,0.002538466],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2101255,"threshold_uncertainty_score":0.4178048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577824376342083,"score_gpt":0.1793770051106038,"score_spread":0.163598761347183,"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."}}