{"id":"W1541411832","doi":"","title":"Brain Drain: time to apply reverse gear","year":2016,"lang":"en","type":"article","venue":"PJR","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emigration; Brain drain; Developing country; Development economics; Phenomenon; Politics; Work (physics); Health care; Economic growth; Business; Political science; Economics; Engineering","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":[0.01028906,0.001039412,0.000967521,0.001898851,0.003416048,0.01290444,0.002640739,0.0078704,0.06079095],"category_scores_gemma":[0.05652379,0.0004835837,0.001050443,0.001333358,0.009512772,0.02081494,0.009398395,0.01359312,0.0266959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003762017,"about_ca_system_score_gemma":0.01127627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004729511,"about_ca_topic_score_gemma":0.005076765,"domain_scores_codex":[0.9925671,0.003010497,0.0005279228,0.0006897445,0.0021892,0.001015489],"domain_scores_gemma":[0.9814098,0.007742635,0.001058667,0.002094605,0.004839689,0.002854679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009667098,0.0001169736,0.001011742,0.000433757,0.00003204474,0.0005800796,0.001494023,0.0006037029,0.000215236,0.3488396,0.4259059,0.2206703],"study_design_scores_gemma":[0.00003342696,0.00006020033,0.0004364103,0.001215768,0.00001085977,0.0006024683,0.001880203,0.0003652176,0.000218046,0.2219836,0.7731462,0.00004762161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004176985,0.0252843,0.03463852,0.7537967,0.02873143,0.0002507721,0.0003479983,0.0009122674,0.1518611],"genre_scores_gemma":[0.2080402,0.07110168,0.07524914,0.3501904,0.02595835,0.001209474,0.0007959038,0.002611238,0.2648435],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06079095,"threshold_uncertainty_score":0.203366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02364303905617928,"score_gpt":0.220009629825953,"score_spread":0.1963665907697737,"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."}}