{"id":"W6950674247","doi":"10.5683/sp3/5ohqbg","title":"UNI-CEN Standardized Census Data Table - Census Metropolitan Area (CMA) - 1951 - Wide Format (CSV) (Version 2023-03)","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Census; Table (database); Documentation; Data file; Column (typography); File format; Directory","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001940524,0.001250214,0.0009076742,0.006690816,0.0007730382,0.001939603,0.002121006,0.0006660977,0.1076987],"category_scores_gemma":[0.01210755,0.0007764036,0.0005609738,0.01956525,0.0003303694,0.00197972,0.001752834,0.001520006,0.09730467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002915768,"about_ca_system_score_gemma":0.006029651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1059745,"about_ca_topic_score_gemma":0.09764595,"domain_scores_codex":[0.9979326,0.0002958364,0.0003196939,0.0004742091,0.0007376528,0.0002400788],"domain_scores_gemma":[0.9939174,0.0008551653,0.0005328091,0.001098292,0.003276076,0.0003202327],"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":[0.00001635476,0.000008466052,0.001167349,0.0001625981,0.000008616152,0.00001276708,0.0000567668,0.00009180488,0.00006884083,0.001288733,0.9934555,0.00366225],"study_design_scores_gemma":[0.00002232438,0.000003742696,0.00619001,0.0001334769,0.000007386449,0.00002504616,0.0001773184,0.00009229862,0.0001704326,0.0007300816,0.9924312,0.00001654596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002156248,0.00002421075,0.0002537305,0.00004901132,0.00003565847,0.00004275447,0.996816,0.0001990796,0.002364082],"genre_scores_gemma":[0.0009211643,0.00005476733,0.001097572,0.00004749002,0.00001008957,0.0003320567,0.9946504,0.0001865247,0.002699935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8940255,"threshold_uncertainty_score":0.360288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04890526924754311,"score_gpt":0.3017092534942908,"score_spread":0.2528039842467477,"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."}}