{"id":"W6913240265","doi":"10.5683/sp3/jwzwaf","title":"Fichier de conversion des codes postaux [Canada], février 2021, Recensement de la population 2016","year":2024,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Research methodology; Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002170706,0.0004023606,0.0003785702,0.003323715,0.002492134,0.003237254,0.001455183,0.00081693,0.02195117],"category_scores_gemma":[0.01464582,0.0003602655,0.0005991663,0.007728134,0.0007251888,0.001093517,0.001509063,0.00195113,0.004966445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04295755,"about_ca_system_score_gemma":0.1122752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942274,"about_ca_topic_score_gemma":0.9942071,"domain_scores_codex":[0.9968555,0.000168299,0.0001801239,0.0002763676,0.001870379,0.0006493627],"domain_scores_gemma":[0.9898767,0.0004423936,0.0003256588,0.0002096724,0.008317658,0.0008279365],"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":[0.0001061334,0.00003111979,0.04393432,0.0005521337,0.00004888254,0.00008945153,0.001771746,0.0009408614,0.0001722123,0.01432361,0.8876085,0.05042104],"study_design_scores_gemma":[0.00004396913,0.00001971698,0.2856928,0.0005568829,0.00003753477,0.0000609929,0.002721652,0.0006671145,0.0004629264,0.0009625377,0.7086924,0.00008156157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02587319,0.002394695,0.00216623,0.01713803,0.001689852,0.0005734932,0.798822,0.000675033,0.1506675],"genre_scores_gemma":[0.2068216,0.008397624,0.01258135,0.0077949,0.0004973938,0.001658776,0.5233803,0.0007596178,0.2381084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04295755,"threshold_uncertainty_score":0.3116803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009856233226371245,"score_gpt":0.2643623715759786,"score_spread":0.2545061383496073,"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."}}