{"id":"W2954984701","doi":"10.15694/mep.2019.000145.1","title":"Twelve tips for bringing competencies into continuing professional development: Curriculum mapping","year":2019,"lang":"en","type":"article","venue":"MedEdPublish","topic":"Innovations in Medical Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Curriculum; Enthusiasm; Medical education; Continuing professional development; Professional development; Health professionals; Curriculum development; Continuing education; Health care; Competence (human resources); Medicine; Psychology; Pedagogy; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.0009610746,0.0001504015,0.0002806571,0.0003302477,0.0001715034,0.00009062517,0.0001742585,0.0001193315,0.0004367167],"category_scores_gemma":[0.001646345,0.0001333368,0.00005928376,0.0005988126,0.00005540488,0.0003783827,0.00008986308,0.0003164315,0.00009501356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002300286,"about_ca_system_score_gemma":0.0003312376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001542355,"about_ca_topic_score_gemma":0.000004626917,"domain_scores_codex":[0.9983246,0.00002106386,0.0004717119,0.0003171431,0.0004942095,0.0003712374],"domain_scores_gemma":[0.9987457,0.00008365741,0.0001614299,0.0002397523,0.0007025438,0.00006684844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006235728,0.000721573,0.2641249,0.002137448,0.0001989125,0.000006681313,0.03091627,0.000004157823,0.01102012,0.01125939,0.2611349,0.4184133],"study_design_scores_gemma":[0.001931979,0.00005866608,0.05327385,0.001637211,0.00002860189,0.00004194438,0.01106348,0.003679708,0.002182431,0.0003962521,0.925379,0.0003269164],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840162,0.00009487737,0.003534285,0.003178577,0.004059252,0.0009505541,9.47718e-7,0.0001420073,0.004023295],"genre_scores_gemma":[0.8940861,0.000001498492,0.09332868,0.001328234,0.0005479624,0.0002072175,0.0003028758,0.00003314806,0.01016431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6642441,"threshold_uncertainty_score":0.5437318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203406297581231,"score_gpt":0.2892612785316721,"score_spread":0.2772272155558597,"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."}}