{"id":"W7131261728","doi":"10.25549/wpacards-c8-139205","title":"WPA block face card for household census (block 1531) in Los Angeles","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Quarter (Canadian coin); Data collection; Administration (probate law); Block (permutation group theory); Value (mathematics)","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":[0.000689043,0.001349855,0.001187223,0.00338922,0.0006949371,0.002155,0.001818846,0.0008388087,0.1012754],"category_scores_gemma":[0.004429627,0.0006522724,0.0005799963,0.007986646,0.00025471,0.001305523,0.001435979,0.001500877,0.1487512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001861514,"about_ca_system_score_gemma":0.002845634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.118323,"about_ca_topic_score_gemma":0.1471014,"domain_scores_codex":[0.9991361,0.0001150464,0.0001077508,0.0002623991,0.0002446822,0.0001340151],"domain_scores_gemma":[0.9975768,0.0002938535,0.000264123,0.0003954041,0.001245138,0.0002247808],"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":[0.000009345241,0.000006486038,0.0004815632,0.0000903549,0.000005330479,0.000006024818,0.00000926753,0.00004979916,0.00001207495,0.0001501897,0.9981482,0.001031369],"study_design_scores_gemma":[0.0000728149,0.000007682381,0.009687163,0.0001850566,0.00001072664,0.00002481048,0.0001188255,0.0002604251,0.0001121244,0.0003813376,0.9891189,0.00002010226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009279521,0.00001856212,0.00003232096,0.00002841715,0.000009808005,0.000006944292,0.9989904,0.00008459065,0.00073625],"genre_scores_gemma":[0.0002295532,0.00002834816,0.00009216058,0.00001724071,0.000004587272,0.00005603833,0.9984067,0.0000276399,0.001137854],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.118323,"threshold_uncertainty_score":0.3387999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465568769071391,"score_gpt":0.1783436701514409,"score_spread":0.163687982460727,"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."}}