{"id":"W2057749887","doi":"10.3917/edd.283.0005","title":"Fuite des cerveaux, qualité de l'éducation et politique d'immigration : l'effet sur le capital humain productif","year":2014,"lang":"fr","type":"article","venue":"Revue d économie du développement","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","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":[0.001727213,0.0002802444,0.0004004492,0.0009692102,0.001601196,0.003636125,0.0005911542,0.0008101847,0.01844121],"category_scores_gemma":[0.007026203,0.0002135188,0.0004538221,0.00189636,0.002961391,0.001453872,0.003187955,0.001480502,0.0008638452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004358998,"about_ca_system_score_gemma":0.003091485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07116442,"about_ca_topic_score_gemma":0.06206791,"domain_scores_codex":[0.9983953,0.0005852586,0.00003512834,0.0001686516,0.000367504,0.0004481795],"domain_scores_gemma":[0.9951769,0.002519033,0.0008061066,0.0002314831,0.0004598794,0.0008066726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008335174,0.000275995,0.450622,0.0003553488,0.0003096583,0.000582438,0.01797843,0.007243417,0.001855029,0.4156618,0.004260798,0.1000216],"study_design_scores_gemma":[0.0001114754,0.000368911,0.889857,0.0004176415,0.0001520756,0.0002995686,0.01473845,0.002759041,0.001555961,0.04773199,0.04195765,0.00005030487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8810048,0.001794291,0.001884632,0.005026965,0.00004018187,0.00003809128,0.0004628093,0.00003291546,0.1097152],"genre_scores_gemma":[0.9883279,0.000456628,0.0003594587,0.0001531085,0.0000176186,0.00002086311,0.00009758701,0.000009112264,0.01055771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07116442,"threshold_uncertainty_score":0.1415004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05699119807281241,"score_gpt":0.3101767244776255,"score_spread":0.2531855264048131,"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."}}