{"id":"W6913070763","doi":"10.5683/sp3/fn22j1","title":"Fichier de conversion des codes postaux plus [Canada], version 5H, octobre 2010, Recensement de 2006","year":2025,"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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008439519,0.0008377894,0.0006212122,0.005206366,0.002468026,0.004427476,0.001544223,0.0008427037,0.04553523],"category_scores_gemma":[0.03576921,0.000854112,0.0006352803,0.008197236,0.001312576,0.001480359,0.001391293,0.001850012,0.01781116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02499163,"about_ca_system_score_gemma":0.09777221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9520483,"about_ca_topic_score_gemma":0.9551024,"domain_scores_codex":[0.9926593,0.0007996358,0.0005856837,0.0008441916,0.004432986,0.0006782914],"domain_scores_gemma":[0.9668504,0.003832842,0.001159853,0.002103722,0.02525128,0.0008018708],"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":[0.0005224184,0.00006248351,0.01279848,0.0007052756,0.00006980637,0.00009992647,0.001743228,0.001666762,0.001852529,0.01944336,0.8606385,0.1003973],"study_design_scores_gemma":[0.00005842442,0.00002473079,0.0279849,0.0002316183,0.00002107263,0.00002520205,0.0004349972,0.0007713286,0.001582667,0.0009615089,0.9678372,0.00006627847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01715131,0.001709185,0.04237531,0.005579216,0.002296462,0.003656417,0.7010454,0.01372425,0.2124625],"genre_scores_gemma":[0.06867467,0.002539327,0.1149532,0.003541906,0.0003348895,0.005462017,0.4660738,0.008370027,0.3300503],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0479517,"threshold_uncertainty_score":0.1813278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242258162656548,"score_gpt":0.2486751093226285,"score_spread":0.236252527696063,"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."}}