{"id":"W2952284160","doi":"10.30770/2572-1852-99.2.8","title":"ECFMG: How a ‘Central Screening Agency’ Grew to Impact Medicine Worldwide","year":2013,"lang":"en","type":"article","venue":"Journal of Medical Regulation","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Licensure; Mandate; Agency (philosophy); Political science; Commission; Pace; Medical education; Public relations; Medicine; Sociology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003013271,0.0001948024,0.0005640552,0.0003058941,0.0003163938,0.00001804684,0.0004128371,0.0003506136,0.01590883],"category_scores_gemma":[0.005234652,0.0001247677,0.0001383805,0.0005671,0.00008442714,0.000402601,0.00008833801,0.001080232,0.0001872012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005178078,"about_ca_system_score_gemma":0.0005992144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009076149,"about_ca_topic_score_gemma":0.0001290365,"domain_scores_codex":[0.9945975,0.0006313863,0.001291454,0.00017371,0.002456913,0.0008490664],"domain_scores_gemma":[0.9953325,0.0008284521,0.0009226417,0.000235176,0.0006807643,0.002000407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002939218,0.00006479257,0.07775195,0.0001961935,0.00008413756,0.00006047453,0.005825492,0.0003505441,0.0003158777,0.00117922,0.7117776,0.2020998],"study_design_scores_gemma":[0.00225038,0.0007501389,0.9005465,0.006898335,0.00005266679,0.00006649544,0.001928476,0.004911876,0.00001056302,0.004240732,0.07815762,0.0001862098],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7368118,0.0007702444,0.0301597,0.2277614,0.001953665,0.0009161297,0.000001925349,0.00004857976,0.001576578],"genre_scores_gemma":[0.985837,0.0001226455,0.002974254,0.005435523,0.003786636,0.00001434037,0.000006704562,0.00002673645,0.001796175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8227946,"threshold_uncertainty_score":0.9849908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06208185012446842,"score_gpt":0.4677802839479267,"score_spread":0.4056984338234583,"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."}}