{"id":"W6894226021","doi":"10.5683/sp3/guxwvy","title":"Recensement de la population, 2021 [Canada]: Tableaux de données, Mobilité et migration [B2020 &amp; CSV]","year":2025,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Order (exchange); Ile de france","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":[0.00233794,0.0009286994,0.0008557682,0.005789801,0.002391777,0.002900294,0.001970969,0.0006383537,0.02027361],"category_scores_gemma":[0.0128054,0.000805649,0.001641073,0.02130926,0.0004474472,0.001061403,0.001007026,0.001994291,0.004411734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03473186,"about_ca_system_score_gemma":0.09659168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965682,"about_ca_topic_score_gemma":0.9961529,"domain_scores_codex":[0.9973882,0.0001033078,0.0003961666,0.0002846075,0.001468628,0.0003590728],"domain_scores_gemma":[0.9881522,0.0007716048,0.0005346963,0.0001830599,0.009686381,0.0006721144],"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":[0.0001392738,0.000035006,0.07543797,0.003440227,0.0003653446,0.00009557726,0.0008579019,0.001477707,0.0001454773,0.001170803,0.8742972,0.04253755],"study_design_scores_gemma":[0.00008616242,0.00002915155,0.4423363,0.003937579,0.0002718989,0.0001086191,0.002069542,0.0006866045,0.0003627203,0.0003162656,0.5496544,0.0001408401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003506608,0.002882167,0.0002876878,0.0009221475,0.0001428306,0.0001489534,0.9786903,0.0001578697,0.01326135],"genre_scores_gemma":[0.0365538,0.01750871,0.004088484,0.001192957,0.0000829471,0.0008994905,0.9120877,0.0001981798,0.02738783],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03473186,"threshold_uncertainty_score":0.2519985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416625216967287,"score_gpt":0.2910241646495972,"score_spread":0.2768579124799243,"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."}}