{"id":"W4390796416","doi":"10.61959/s240303s","title":"Rapport des Nations Unies : Liens entre l’évolution démographique, la migration et l’urbanisation au Canada : Conséquences en matière de politiques","year":2023,"lang":"fr","type":"report","venue":"","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vanier College","funders":"","keywords":"Political science; Humanities; Geography; Art","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":[0.001503861,0.0002969251,0.000391832,0.002501909,0.01170033,0.004943684,0.0007094837,0.000594767,0.009165755],"category_scores_gemma":[0.003964836,0.0002042771,0.0002788406,0.00604154,0.002752813,0.001731044,0.002513292,0.001158524,0.0003301269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07946139,"about_ca_system_score_gemma":0.09931485,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931222,"about_ca_topic_score_gemma":0.99689,"domain_scores_codex":[0.998461,0.0002923393,0.00003727067,0.0001597454,0.0003858129,0.0006639373],"domain_scores_gemma":[0.9968899,0.0005867347,0.0003264442,0.0001216261,0.001363103,0.000712215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002680697,0.00008972197,0.3074329,0.0005471066,0.0001413828,0.001353821,0.1400447,0.002317407,0.001075885,0.3112898,0.0562516,0.1791876],"study_design_scores_gemma":[0.00001479071,0.00004911661,0.4721999,0.0009018565,0.00009852392,0.0002169471,0.1263954,0.001339482,0.0007662864,0.007632728,0.3902695,0.0001155051],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7045089,0.01707672,0.002534302,0.0379982,0.0004204051,0.0001225382,0.004682445,0.0001267225,0.2325297],"genre_scores_gemma":[0.9429259,0.005897331,0.001050285,0.0007886576,0.00003387874,0.00004318325,0.0006408062,0.00003961286,0.04858033],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07946139,"threshold_uncertainty_score":0.5765355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05807067442479448,"score_gpt":0.3286644274353524,"score_spread":0.2705937530105579,"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."}}