{"id":"W6969082622","doi":"10.5683/sp3/lymwu2","title":"Fichier de conversion des codes postaux plus [Canada], version 3, mai 1998, Recensement de 1996","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":[0.007031834,0.001028679,0.0007041919,0.00623156,0.002497452,0.004947681,0.001702247,0.0008898943,0.05692472],"category_scores_gemma":[0.03513133,0.001171397,0.0006645445,0.01140977,0.001165728,0.001751304,0.001408308,0.001726913,0.02572452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02299288,"about_ca_system_score_gemma":0.07033114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9310414,"about_ca_topic_score_gemma":0.937974,"domain_scores_codex":[0.9938356,0.0005832962,0.0006340781,0.0006999808,0.003715093,0.0005319052],"domain_scores_gemma":[0.9725906,0.003594976,0.001100616,0.002072301,0.02012951,0.0005120469],"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":[0.0005275232,0.00005909341,0.01007742,0.000697018,0.00006031659,0.000105783,0.001444248,0.001517857,0.001633687,0.01355775,0.8658885,0.1044308],"study_design_scores_gemma":[0.00007402236,0.00002050425,0.02273694,0.0002422891,0.00002377668,0.00003739512,0.0003307482,0.0008673616,0.001798633,0.001074057,0.9727275,0.00006691912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01462639,0.00145386,0.03539919,0.003151499,0.001498118,0.002890472,0.7570102,0.01866395,0.1653064],"genre_scores_gemma":[0.04468368,0.002244866,0.1152371,0.001780657,0.0002085204,0.004600096,0.5737187,0.01073363,0.2467927],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06895864,"threshold_uncertainty_score":0.1904321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188282771654399,"score_gpt":0.249710745575569,"score_spread":0.237827917859025,"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."}}