{"id":"W7131231885","doi":"10.25549/wpacards-c8-3","title":"WPA blocklist of household censuses for Blanchard, Ditman, Winter, Hicks Streets","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); Variety (cybernetics); Value (mathematics); American Community Survey","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":[0.0008432934,0.001356667,0.001203582,0.004665933,0.0006429309,0.002091388,0.00146984,0.0006980012,0.1292095],"category_scores_gemma":[0.00569332,0.0007971826,0.0005839657,0.01244662,0.0002465091,0.001443008,0.001338389,0.001617313,0.168242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448393,"about_ca_system_score_gemma":0.002951019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05466884,"about_ca_topic_score_gemma":0.08178017,"domain_scores_codex":[0.9990962,0.0001118414,0.000121432,0.0002535786,0.0002970959,0.000119901],"domain_scores_gemma":[0.9971739,0.0005234262,0.0003037108,0.0004882981,0.001291316,0.0002193306],"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":[0.000008806664,0.000006185068,0.0005027608,0.0001367641,0.00000616808,0.000005998228,0.00001426358,0.00005880919,0.00002145031,0.0003384088,0.9972814,0.001619024],"study_design_scores_gemma":[0.00004846922,0.000004155389,0.006733709,0.0001827098,0.000008929494,0.00001969912,0.00008143616,0.0001444411,0.0001015587,0.0004704911,0.9921927,0.00001164015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005811921,0.00002046992,0.00004974391,0.00002072419,0.000007978115,0.00000746673,0.9989737,0.00006897352,0.0007927289],"genre_scores_gemma":[0.0001750714,0.00004124891,0.0001405528,0.00001650648,0.000003652307,0.00004830966,0.9983511,0.00004516033,0.001178385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1292095,"threshold_uncertainty_score":0.4322489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132806726251916,"score_gpt":0.1782355646145395,"score_spread":0.1649548919893479,"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."}}