{"id":"W6907985983","doi":"10.25549/wpacards-m89012","title":"WPA block face card for household census of Pico Street, 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); 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":[0.000508296,0.001622254,0.001311221,0.006169138,0.0007200574,0.002035381,0.001840625,0.001061733,0.09710967],"category_scores_gemma":[0.004372478,0.0008665213,0.0007137824,0.01307144,0.0002241273,0.001268769,0.001252027,0.001217944,0.1175401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691837,"about_ca_system_score_gemma":0.003756941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1865991,"about_ca_topic_score_gemma":0.2488798,"domain_scores_codex":[0.9993026,0.0000556098,0.0001006821,0.0001819786,0.0002214936,0.000137627],"domain_scores_gemma":[0.9972337,0.0002917985,0.0003945708,0.0003726976,0.001447507,0.0002598167],"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":[0.00003064256,0.00001404201,0.001631429,0.0001619926,0.00001249778,0.00001097641,0.00001846875,0.0001229053,0.00003164588,0.0001161655,0.9959049,0.001944332],"study_design_scores_gemma":[0.000176803,0.00001714252,0.04525363,0.0003231008,0.00004157784,0.00005534491,0.0002901537,0.0006492274,0.0004072148,0.00044083,0.9522957,0.00004933824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001409017,0.00001270955,0.00002178088,0.0000121111,0.00000570855,0.000006319831,0.9991897,0.0000702852,0.0005403788],"genre_scores_gemma":[0.0004294603,0.00003066365,0.00008723806,0.0000134849,0.000004629228,0.00006154805,0.9976821,0.0000255616,0.001665182],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1865991,"threshold_uncertainty_score":0.371026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544638629024256,"score_gpt":0.1798716225541285,"score_spread":0.164425236263886,"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."}}