{"id":"W1889483716","doi":"","title":"Brain drain? Maybe not","year":2001,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brain drain; Health information; Medicine; Family medicine; Political science; Health care; Economic growth; Law","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":[0.002402111,0.0004006197,0.0006725098,0.0006289132,0.003111544,0.004384253,0.001156765,0.004775922,0.0414965],"category_scores_gemma":[0.02254692,0.0001525392,0.0005317372,0.001060964,0.005616336,0.008698226,0.002168023,0.01139998,0.00828454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003563479,"about_ca_system_score_gemma":0.00777715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01845227,"about_ca_topic_score_gemma":0.03145943,"domain_scores_codex":[0.9984317,0.0005052357,0.0001212315,0.00017703,0.0002747199,0.0004899912],"domain_scores_gemma":[0.9929731,0.001720667,0.0005194182,0.0002445187,0.002279436,0.002262782],"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":[0.00009585633,0.00004913899,0.001763283,0.0004597145,0.00005158461,0.0005131935,0.0006657874,0.00004196708,0.00006588417,0.02991108,0.8973358,0.06904671],"study_design_scores_gemma":[0.0001115175,0.00007396325,0.003279506,0.005151837,0.00008564821,0.002489068,0.01049211,0.00007835976,0.0002279457,0.1074037,0.8705342,0.00007214483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001283993,0.01408075,0.0002354513,0.9631035,0.008693502,0.000007270436,0.0001984026,0.00003421145,0.01236301],"genre_scores_gemma":[0.06805468,0.07614354,0.0009435964,0.8039019,0.02384644,0.00007909992,0.0005100431,0.0002193843,0.02630136],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0414965,"threshold_uncertainty_score":0.1388196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04857313031503523,"score_gpt":0.3566157841982243,"score_spread":0.3080426538831891,"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."}}