{"id":"W6913026960","doi":"10.5683/sp3/gqxtl0","title":"Fichier des codes postaux par circonscriptions électorales fédérales [Canada], octobre 2010, Recensement de la population 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; Civilian population; Code (set theory)","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","sts"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00139522,0.001496586,0.00141598,0.0008463846,0.001584154,0.0006796186,0.00123015,0.001266105,0.0006666132],"category_scores_gemma":[0.001882702,0.001734284,0.0004310381,0.001202038,0.001409594,0.0005183138,0.0003908254,0.00128872,0.00009123805],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005708748,"about_ca_system_score_gemma":0.004747065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924858,"about_ca_topic_score_gemma":0.9984996,"domain_scores_codex":[0.9908418,0.002944538,0.001664051,0.001434338,0.001268674,0.001846605],"domain_scores_gemma":[0.9940804,0.001116113,0.001022855,0.002314449,0.0007365859,0.000729649],"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":[0.000168275,0.0005942899,0.02979525,0.001096529,0.0007760756,0.0002097593,0.0001220391,0.0004965878,0.0004246463,0.001670086,0.9636866,0.0009598956],"study_design_scores_gemma":[0.0006211989,0.00007074817,0.2013419,0.001676631,0.001388152,0.00008688849,0.0001976132,0.0001033343,0.0001663672,0.001048661,0.792062,0.001236423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003658764,0.009910026,0.00006542027,0.001448578,0.001153677,0.001284215,0.9812746,0.0002648339,0.0009398643],"genre_scores_gemma":[0.001977057,0.004302673,0.002541232,0.0007652193,0.0005445638,0.0002818576,0.987085,0.0002061399,0.002296272],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1716245,"threshold_uncertainty_score":0.9997783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170092909896509,"score_gpt":0.2747028965415109,"score_spread":0.2576936055518599,"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."}}