{"id":"W4226159206","doi":"10.3389/fmed.2021.789828","title":"A Six-Step Model for Developing Competency Frameworks in the Healthcare Professions","year":2021,"lang":"en","type":"article","venue":"Frontiers in Medicine","topic":"Innovations in Medical Education","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Wilson Centre; University of Toronto; Queen's University","funders":"","keywords":"Variety (cybernetics); Scope (computer science); Identification (biology); Process (computing); Health care; Computer science; Process management; Knowledge management; Scope of practice; Management science; Engineering ethics; Engineering; Political science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001337477,0.000151445,0.0004843798,0.0003326549,0.0001281281,0.000006173686,0.0001951915,0.000331734,0.00002229542],"category_scores_gemma":[0.003839816,0.0001037855,0.00003926902,0.001490212,0.0001649609,0.00005568671,0.00003083189,0.001322534,0.000001414786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003441802,"about_ca_system_score_gemma":0.001149225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003185057,"about_ca_topic_score_gemma":0.0001065579,"domain_scores_codex":[0.9980683,0.0001271564,0.0006460397,0.0003165325,0.0004628728,0.0003790892],"domain_scores_gemma":[0.9988672,0.0001598175,0.0001049372,0.0004406559,0.0003747604,0.00005264442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002449352,0.0005946065,0.1255619,0.001578504,0.00006554199,0.0001219956,0.03957121,0.0001506775,0.0001161048,0.05906204,0.6641635,0.108769],"study_design_scores_gemma":[0.008916172,0.0003833937,0.07403317,0.0108912,0.0001642469,0.0001355042,0.1366768,0.6625445,0.00006023323,0.06966873,0.03600235,0.0005237365],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02436565,0.001762053,0.6223816,0.3473532,0.002383096,0.00112525,0.000003002745,0.00002795062,0.0005981707],"genre_scores_gemma":[0.376815,0.0002461174,0.5741138,0.04678605,0.0005805012,0.0005218866,0.0002921495,0.00002876152,0.0006157535],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6623938,"threshold_uncertainty_score":0.5745825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04334838414168324,"score_gpt":0.3864743128250056,"score_spread":0.3431259286833224,"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."}}