{"id":"W3186939553","doi":"10.1186/s12960-021-00629-5","title":"Variations in regulations to control standards for training and licensing of physicians: a multi-country comparison","year":2021,"lang":"en","type":"article","venue":"Human Resources for Health","topic":"Innovations in Medical Education","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; UK Research and Innovation","keywords":"Competence (human resources); Licensure; Public health; Health administration; Control (management); Medicine; Economic shortage; Medical education; Business; Nursing; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.01980538,0.0003670073,0.0007907019,0.005674526,0.000816812,0.00237973,0.001045435,0.0009723039,0.001691682],"category_scores_gemma":[0.04720778,0.0005046757,0.001822028,0.006311346,0.001917117,0.001989085,0.00300101,0.0007628262,0.0001544718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693393,"about_ca_system_score_gemma":0.001385242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006047273,"about_ca_topic_score_gemma":0.006789688,"domain_scores_codex":[0.9772218,0.01197985,0.004148867,0.002516371,0.002617182,0.001515925],"domain_scores_gemma":[0.9422829,0.02715558,0.01969382,0.003960133,0.005982349,0.0009253633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001848508,0.000522301,0.9567788,0.001847606,0.002981969,0.0004509039,0.01071088,0.00141886,0.001265981,0.003080164,0.0007146102,0.0183795],"study_design_scores_gemma":[0.00008863067,0.0007572345,0.9816025,0.0004369378,0.0006645937,0.0002679849,0.01292547,0.0006123896,0.0005434534,0.0003140283,0.001738381,0.00004837534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955318,0.000783028,0.001061433,0.00007377709,0.00002097242,0.000305925,0.0008111623,0.000006050393,0.001405881],"genre_scores_gemma":[0.9980097,0.000180625,0.0007533443,0.00004733707,0.000004094368,0.0002848688,0.0006435641,0.000005668627,0.00007095072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01980538,"threshold_uncertainty_score":0.1047422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05768509636714168,"score_gpt":0.4345784689020951,"score_spread":0.3768933725349534,"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."}}