{"id":"W7131315957","doi":"10.25549/wpacards-c8-139359","title":"WPA block face card for household census (block 1589) 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":[0.0006765643,0.001339931,0.001156079,0.003346868,0.00069103,0.002127601,0.001834132,0.0008283877,0.09369071],"category_scores_gemma":[0.004248071,0.0006303822,0.0005754453,0.007818526,0.0002549153,0.001301567,0.001428015,0.001491708,0.1407593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001836628,"about_ca_system_score_gemma":0.002793097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1180497,"about_ca_topic_score_gemma":0.1498549,"domain_scores_codex":[0.9991462,0.0001139647,0.00010589,0.000260087,0.0002420994,0.0001316716],"domain_scores_gemma":[0.9976866,0.0002750301,0.0002569106,0.0003806072,0.001181896,0.000218968],"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":[0.000009724721,0.000006722519,0.0005033679,0.00008896549,0.000005490487,0.000006337551,0.000009510816,0.00005118949,0.00001236789,0.0001563454,0.9981126,0.001037395],"study_design_scores_gemma":[0.00007324409,0.000007621675,0.009690143,0.0001801628,0.00001071462,0.00002494325,0.0001204011,0.0002675991,0.0001114522,0.0003865156,0.9891071,0.00002018154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009779243,0.00001864375,0.00003234613,0.0000288015,0.00001000726,0.000006834794,0.9989819,0.00008538878,0.000738213],"genre_scores_gemma":[0.0002351064,0.00002740677,0.00009282705,0.00001683002,0.000004586045,0.00005362865,0.9984357,0.00002645066,0.001107514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1180497,"threshold_uncertainty_score":0.3134266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504973360380573,"score_gpt":0.1791056978246894,"score_spread":0.1640559642208837,"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."}}