{"id":"W4400626491","doi":"10.1787/migr_outlook-2017-table91-fr","title":"Tendances récentes des flux et des effectifs de migrants : Canada","year":2017,"lang":"fr","type":"other","venue":"Perspectives des migrations internationales","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Economics; Political science","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":[0.00273685,0.0006261775,0.0008275049,0.00463189,0.008141688,0.007547327,0.001719489,0.001621739,0.01098244],"category_scores_gemma":[0.009878834,0.0003547896,0.0009274331,0.01273897,0.003643502,0.002580502,0.003356977,0.002940985,0.0006369769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05746637,"about_ca_system_score_gemma":0.1231697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938774,"about_ca_topic_score_gemma":0.9955136,"domain_scores_codex":[0.9971831,0.0002793765,0.0001297447,0.0002159897,0.0008203913,0.001371496],"domain_scores_gemma":[0.9890488,0.001498553,0.001356045,0.0001939996,0.005121833,0.002780742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001219414,0.0003962167,0.4724807,0.002870221,0.0004250841,0.00153725,0.1730278,0.001071078,0.0008195001,0.02347214,0.07630514,0.2463753],"study_design_scores_gemma":[0.00005134899,0.00009909791,0.6274897,0.002307912,0.0001815329,0.0003786254,0.1779187,0.0001876587,0.0003552156,0.0007667848,0.1901313,0.0001320336],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8334827,0.06030116,0.0005368289,0.04460086,0.001410524,0.00006928646,0.009640186,0.00008250726,0.04987595],"genre_scores_gemma":[0.872631,0.07019656,0.0005847818,0.00353722,0.0006104335,0.0000916112,0.002878032,0.0001205469,0.04934981],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.05746637,"threshold_uncertainty_score":0.4169497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08027671970680732,"score_gpt":0.4499960511885706,"score_spread":0.3697193314817633,"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."}}