{"id":"W4414086498","doi":"10.3389/feduc.2025.1647568","title":"For profit medicine: the good, the bad, and the ugly faces of offshore medical education","year":2025,"lang":"en","type":"article","venue":"Frontiers in Education","topic":"Dental Education, Practice, Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Texas Health Science Center at San Antonio","keywords":"Socioeconomic status; Profit (economics); Submarine pipeline; Medical care; For profit; Medical profession","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":[],"consensus_categories":[],"category_scores_codex":[0.005388167,0.0001164031,0.000215215,0.0001954862,0.0007485904,0.0000184538,0.0005769748,0.0001537167,0.000181558],"category_scores_gemma":[0.008221129,0.00005607663,0.00003732702,0.0006426871,0.0008246382,0.0001625986,0.00009172587,0.0006355661,0.000006804825],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002557767,"about_ca_system_score_gemma":0.00769926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001340276,"about_ca_topic_score_gemma":0.0002216638,"domain_scores_codex":[0.9973935,0.001109111,0.0005492191,0.0002312531,0.0004522594,0.000264638],"domain_scores_gemma":[0.9968964,0.001822516,0.000298466,0.0005034695,0.0004110535,0.00006809837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001637678,0.00009705174,0.4373007,0.000226588,0.00003108746,1.08806e-8,0.01587136,4.521495e-7,0.000003473822,0.0483381,0.4161622,0.08180528],"study_design_scores_gemma":[0.001052677,0.00002603178,0.4445187,0.0004074633,0.00007728134,0.000001416258,0.2833035,0.0004473185,0.00001477645,0.03625398,0.2338279,0.00006886985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2635284,0.02225141,0.001444156,0.6355436,0.01919233,0.008725837,0.000009907194,0.00002672656,0.0492776],"genre_scores_gemma":[0.9178898,0.003553272,0.00098757,0.01527989,0.001462547,0.008645317,0.0001253931,0.00003599031,0.05202022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6543614,"threshold_uncertainty_score":0.9979262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237029028341935,"score_gpt":0.4751055106725869,"score_spread":0.4527352203891675,"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."}}