{"id":"W6950581642","doi":"10.5683/sp3/45xgtu","title":"Enquête sur les voyages des résidents du Canada, 2015 [Canada]: fichier des personnes, décembre","year":2023,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Statistical analysis; Economic shortage; European commission","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005935735,0.0003515912,0.0003123858,0.001481286,0.005030225,0.002472227,0.0008272151,0.0005171714,0.01252177],"category_scores_gemma":[0.001735189,0.0002338984,0.0003289099,0.005386177,0.0008655966,0.0007430468,0.001097295,0.001149486,0.001459391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04070237,"about_ca_system_score_gemma":0.07220475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979941,"about_ca_topic_score_gemma":0.9990546,"domain_scores_codex":[0.9992496,0.0000324854,0.00003409688,0.00008270586,0.0003470778,0.0002539277],"domain_scores_gemma":[0.9985018,0.00004836761,0.00008925773,0.00001536975,0.0008937695,0.0004514641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001425722,0.0000603463,0.24857,0.0009414445,0.00007585894,0.0006632316,0.0564544,0.0002776245,0.0007139079,0.003988584,0.5723727,0.1157394],"study_design_scores_gemma":[0.000006174934,0.00002287797,0.6774675,0.0004258802,0.00001839682,0.0001025818,0.05035783,0.000115562,0.0001354513,0.00009010619,0.2712097,0.00004794434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5781455,0.02306611,0.000988053,0.0334667,0.001900072,0.000365954,0.2130448,0.0003124924,0.1487103],"genre_scores_gemma":[0.7046973,0.02269348,0.001716051,0.005170762,0.0002161609,0.0002502305,0.05023414,0.0001386318,0.2148834],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.04070237,"threshold_uncertainty_score":0.2953178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471630236879586,"score_gpt":0.2445917704931568,"score_spread":0.2198754681243609,"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."}}