{"id":"W3193639708","doi":"10.1177/08465371211038963","title":"Analyzing the Administrative Burden of Competency Based Medical Education","year":2021,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Innovations in Medical Education","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Family medicine; Medical education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001843188,0.00008237219,0.0002718212,0.0002384885,0.0001506634,0.00001661386,0.0001628494,0.0002006447,0.001178274],"category_scores_gemma":[0.01938197,0.0000640298,0.0001115615,0.0006606613,0.0001491736,0.0000517879,0.000006748813,0.0005433453,0.0000038332],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224636,"about_ca_system_score_gemma":0.04336772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165775,"about_ca_topic_score_gemma":0.003740158,"domain_scores_codex":[0.9982801,0.0002746169,0.000613466,0.0001124088,0.0005148643,0.0002045477],"domain_scores_gemma":[0.9967291,0.0002346036,0.0006891218,0.0001883786,0.001914246,0.0002444932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006049664,0.0005137249,0.5449679,0.0001827355,0.0007574378,0.0001106688,0.002363353,0.0001555163,0.0009983099,0.0430613,0.3069164,0.09991215],"study_design_scores_gemma":[0.004131756,0.0006853074,0.8498202,0.00151367,0.0007042857,0.002043649,0.01180433,0.007305927,0.002533132,0.006866117,0.1120949,0.0004967147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5362581,0.001419662,0.003993536,0.4371958,0.002806986,0.0003849677,0.00003632926,0.00001857653,0.01788605],"genre_scores_gemma":[0.9905258,0.0001014262,0.005999368,0.002021708,0.0005731279,0.000005749758,0.00009508021,0.000007780125,0.0006699817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4542677,"threshold_uncertainty_score":0.9997348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853964132042304,"score_gpt":0.332572147472659,"score_spread":0.314032506152236,"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."}}