{"id":"W7056537539","doi":"","title":"Exode et afflux de cerveaux : migration des travailleurs du savoir en provenance [et] à destination du Canada = Brain drain and brain gain : the migration of knowledge workers from and to Canada /","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Brain drain; Immigration; Latin Americans; Occupational mobility; Public policy; Context (archaeology); Productivity; Identity (music)","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":[0.0005876054,0.0003381517,0.0002418502,0.002398138,0.004774862,0.002878678,0.001101834,0.0009649746,0.0127783],"category_scores_gemma":[0.00282241,0.0002019179,0.0003980715,0.007085373,0.002238312,0.001280084,0.001734176,0.001069291,0.0006718538],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02644312,"about_ca_system_score_gemma":0.05373489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919366,"about_ca_topic_score_gemma":0.9962811,"domain_scores_codex":[0.9995084,0.00004749962,0.00002211876,0.00004853778,0.0001341409,0.0002392764],"domain_scores_gemma":[0.9988357,0.0001214171,0.0002279364,0.00003902234,0.0004960421,0.0002798676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003853271,0.0001048634,0.532706,0.001226692,0.0001569344,0.002251948,0.1237294,0.000573391,0.001151839,0.01816049,0.05647691,0.2630762],"study_design_scores_gemma":[0.00001280506,0.00003998583,0.7927024,0.001023253,0.00005211913,0.0006346733,0.1090538,0.0001245427,0.0003628897,0.0007731782,0.09517262,0.00004776339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8864444,0.0213077,0.0004173414,0.01074503,0.0004161889,0.00009940599,0.01184706,0.00004567408,0.06867714],"genre_scores_gemma":[0.9157688,0.01650955,0.000849825,0.0009707352,0.0000808469,0.00005564528,0.002729381,0.00004607783,0.06298916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9735569,"threshold_uncertainty_score":0.1918592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0082164962513771,"score_gpt":0.2148585516139642,"score_spread":0.2066420553625871,"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."}}