{"id":"W6950372287","doi":"10.5683/sp3/zas19g","title":"Recensement de la population, 2016 [Canada]: Tableaux de données, Langue [B2020 &amp; CSV]","year":2025,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Research methodology; Census","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00103601,0.0005007479,0.0006093453,0.000174622,0.0003285031,0.0001344072,0.0004086111,0.0006392221,0.001226665],"category_scores_gemma":[0.0017329,0.0005299872,0.0001394363,0.0003067534,0.00006210766,0.0001019905,0.0001376834,0.0004982759,0.00001672167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001727644,"about_ca_system_score_gemma":0.001767977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9719973,"about_ca_topic_score_gemma":0.9717699,"domain_scores_codex":[0.996761,0.000613849,0.0009555598,0.0004613913,0.0005683308,0.0006399062],"domain_scores_gemma":[0.9969065,0.0009282257,0.0006110101,0.001044719,0.0002330321,0.0002764752],"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":[0.00002969579,0.0001501586,0.00160092,0.001262107,0.0001275556,0.00002959381,0.0001528563,0.0006426188,0.000003934985,0.01763791,0.9755797,0.002782908],"study_design_scores_gemma":[0.0004399252,0.00001596439,0.01191907,0.0009816713,0.0004110654,0.00003562429,0.00003381745,0.0009528389,0.000007096768,0.007443523,0.9772762,0.0004831739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001694921,0.0007728403,0.003156128,0.003938781,0.0005091569,0.0005797055,0.9866521,0.00007445738,0.004147345],"genre_scores_gemma":[0.0001073509,0.001217198,0.01229415,0.001122967,0.0006316801,0.00006830666,0.9769278,0.00004260709,0.007587932],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01031815,"threshold_uncertainty_score":0.9997151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02734778326857322,"score_gpt":0.3062069502597594,"score_spread":0.2788591669911861,"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."}}