{"id":"W7131307195","doi":"10.25549/wpacards-c8-139151","title":"WPA block face card for household census (block 1527) 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":[0.0006758954,0.001337769,0.001172313,0.003366341,0.0006812419,0.002126151,0.001814105,0.0008252634,0.09862182],"category_scores_gemma":[0.004323863,0.0006337346,0.0005761363,0.007912894,0.0002534704,0.001299398,0.001417565,0.00147686,0.1475733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810404,"about_ca_system_score_gemma":0.002832582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1157269,"about_ca_topic_score_gemma":0.1474221,"domain_scores_codex":[0.9991456,0.0001135677,0.0001060789,0.0002595563,0.0002429444,0.0001320788],"domain_scores_gemma":[0.9976317,0.000284404,0.0002561837,0.000386476,0.001221044,0.000220275],"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":[0.000009164361,0.000006344917,0.0004801682,0.00008731683,0.000005279848,0.00000610541,0.000009276193,0.00004797864,0.00001184774,0.0001537521,0.9981602,0.001022587],"study_design_scores_gemma":[0.00007151518,0.000007401412,0.009248696,0.0001803958,0.0000106135,0.00002473972,0.0001192587,0.0002585615,0.0001099085,0.0003837889,0.9895656,0.00001952711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009528272,0.00001881823,0.00003289408,0.00002863584,0.000009907227,0.000006995751,0.9989575,0.0000858143,0.0007641605],"genre_scores_gemma":[0.0002317915,0.00002802202,0.00009254966,0.00001740696,0.000004526012,0.00005462207,0.9984072,0.00002715175,0.001136651],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1157269,"threshold_uncertainty_score":0.3299229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146821571390098,"score_gpt":0.178413633504239,"score_spread":0.1637314763652292,"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."}}