{"id":"W6950245638","doi":"10.5683/sp3/wvdsqi","title":"Fichier des codes postaux par circonscriptions électorales fédérales [Canada], mai 2021, Recensement de la population 2016","year":2025,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Code (set theory); Civilian population","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":[0.001805756,0.0003595887,0.000336154,0.00341107,0.003019053,0.003019941,0.001108801,0.0005585949,0.01541132],"category_scores_gemma":[0.01129232,0.0003371609,0.0003954709,0.006241614,0.000716185,0.0008261946,0.00114301,0.001478215,0.002566305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03756817,"about_ca_system_score_gemma":0.0866535,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916483,"about_ca_topic_score_gemma":0.9953219,"domain_scores_codex":[0.9967495,0.0001366542,0.0001267607,0.0002851899,0.001933417,0.0007684156],"domain_scores_gemma":[0.9917789,0.0003728021,0.0003788528,0.0001706702,0.006320925,0.0009778913],"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":[0.0002455393,0.00004828359,0.1345203,0.0005974963,0.00006650107,0.0001237108,0.003931053,0.001249528,0.0005187006,0.02374813,0.720964,0.1139868],"study_design_scores_gemma":[0.00003531726,0.00002694506,0.3595031,0.0002881892,0.00003434574,0.00005543974,0.002171251,0.0005576344,0.0005387543,0.0005248137,0.6362033,0.00006100734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1241596,0.004571158,0.003220596,0.01986848,0.001935442,0.0005774119,0.5437426,0.001143313,0.3007813],"genre_scores_gemma":[0.4973927,0.006418469,0.009509302,0.003719287,0.0005266332,0.0008162503,0.2030058,0.0005376251,0.2780738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03756817,"threshold_uncertainty_score":0.2725775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423462737462061,"score_gpt":0.2735183140640726,"score_spread":0.259283686689452,"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."}}