{"id":"W2747033575","doi":"10.3126/mjsbh.v16i1.18076","title":"Medical Education in Nepal and Brain Drain","year":2017,"lang":"en","type":"article","venue":"Medical Journal of Shree Birendra Hospital","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accreditation; Scholarship; Government (linguistics); Brain drain; Specialty; Medical education; Medicine; Health care; Family medicine; Political science; Economic growth","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003903409,0.0001979367,0.000569179,0.000200602,0.0006654265,0.00003816821,0.0009485655,0.0006172391,0.002410878],"category_scores_gemma":[0.01665193,0.0001548349,0.00008779288,0.0001036406,0.0005298184,0.000425128,0.0003433781,0.00202045,0.00005511897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002185806,"about_ca_system_score_gemma":0.005497111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008344094,"about_ca_topic_score_gemma":0.002056336,"domain_scores_codex":[0.995506,0.0004329914,0.001361407,0.0002347276,0.001784173,0.0006806509],"domain_scores_gemma":[0.9962175,0.0006928108,0.0009522507,0.000370645,0.0002499004,0.00151689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001343537,0.0004026651,0.5658704,0.000177755,0.00002418199,0.0005420409,0.002446669,1.541053e-7,0.000002893438,0.004795766,0.07527898,0.3503241],"study_design_scores_gemma":[0.004814051,0.0008376447,0.8588434,0.007379846,0.00002455891,0.0002015055,0.004655726,0.0003492389,0.000003163634,0.005846929,0.1167174,0.000326441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8510323,0.001570606,0.00006350264,0.1364653,0.003656334,0.000272722,0.000003127822,0.00001805542,0.006917973],"genre_scores_gemma":[0.9905211,0.00080366,0.0005483705,0.005064175,0.002182797,0.00001261376,0.000003384739,0.00002562507,0.0008383092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3499977,"threshold_uncertainty_score":0.9985011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727024539740898,"score_gpt":0.4365612197308755,"score_spread":0.4192909743334665,"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."}}