{"id":"W4391430051","doi":"10.1186/s12909-024-05052-7","title":"Relationship between individual and country-level socio-economic background, USMLE step scores, and demographics of international medical graduates and residency match results","year":2024,"lang":"en","type":"article","venue":"BMC Medical Education","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"United States Medical Licensing Examination; Odds; Demographics; Matriculation; Medicine; Family medicine; Logistic regression; Residency training; Matching (statistics); Medical education; Educational attainment; Demography; Medical school; Political science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001150939,0.0001611218,0.0001577363,0.0009442641,0.0004003633,0.0004194277,0.0002559964,0.0003352552,0.006234201],"category_scores_gemma":[0.005653595,0.0001325387,0.0002820037,0.0007021778,0.0002898653,0.0003954078,0.0005115984,0.0004880062,0.0006213348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002079803,"about_ca_system_score_gemma":0.000385306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003963321,"about_ca_topic_score_gemma":0.00547596,"domain_scores_codex":[0.9994974,0.000140742,0.00005959017,0.00007040695,0.0001238231,0.0001080259],"domain_scores_gemma":[0.9962609,0.0007869565,0.001640628,0.0001012365,0.0002838538,0.0009263483],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001108271,0.00002509735,0.999536,0.000001705833,0.000006833474,0.00001132421,0.00001665801,0.00001003087,0.00001773926,0.000003524031,0.00004507293,0.0003149254],"study_design_scores_gemma":[7.714933e-7,0.00003390609,0.9996492,0.000002233095,0.000002606018,0.00004630234,0.0001120651,0.00007500782,0.0000176595,0.000004075284,0.00005523456,8.641971e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999042,0.00005299454,0.00005033597,0.00007150923,0.000005236686,0.000006198629,0.0002316504,0.000003535771,0.0005365221],"genre_scores_gemma":[0.9994465,0.00003080251,0.00006099142,0.0000233442,0.000004516284,0.0000067234,0.0002365796,0.000001175736,0.0001893558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.998849,"threshold_uncertainty_score":0.02085549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1270679253034321,"score_gpt":0.4665730415608057,"score_spread":0.3395051162573737,"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."}}