{"id":"W1971742115","doi":"10.1377/hlthaff.25.2.380","title":"Doctors For The World: Indian Physician Emigration","year":2006,"lang":"en","type":"article","venue":"Health Affairs","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emigration; Workforce; Physician supply; Medicine; Public health; Politics; Family medicine; Economic growth; Political science; Nursing; Environmental health; Population; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001155637,0.000234822,0.0003638145,0.0001581717,0.002715971,0.00001902923,0.0002742884,0.0001469469,0.0001792116],"category_scores_gemma":[0.00007719684,0.0001704548,0.0001094636,0.0007490139,0.00007981816,0.000132684,0.00004685991,0.0005468665,0.0003898442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006802445,"about_ca_system_score_gemma":0.0007937712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007329374,"about_ca_topic_score_gemma":0.06748524,"domain_scores_codex":[0.9965447,0.0003908481,0.0009475165,0.0003630575,0.000328146,0.001425705],"domain_scores_gemma":[0.9971151,0.001387728,0.0005538673,0.0005067268,0.0001617778,0.0002747786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009544652,0.00007404527,0.01542536,0.0007542233,0.00001092575,0.000001118858,0.003257777,0.0001185033,0.000006129193,0.04372743,0.9260799,0.01044913],"study_design_scores_gemma":[0.0008347176,0.0001284327,0.01830541,0.0004330689,0.00001192874,5.332257e-7,0.01240238,0.0002602144,0.00001757545,0.002769777,0.9646403,0.0001956302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1081143,0.01575525,0.00507076,0.502165,0.01861602,0.03998263,0.000756185,0.00283027,0.3067096],"genre_scores_gemma":[0.9659289,0.0001092825,0.001097737,0.01392371,0.002518025,0.001177929,0.0001878944,0.00005989337,0.01499662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8578146,"threshold_uncertainty_score":0.9992809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03131905295790464,"score_gpt":0.4235213187858982,"score_spread":0.3922022658279935,"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."}}