{"id":"W4294816830","doi":"10.1080/10903127.2022.2120934","title":"Deriving National Continued Competency Priorities for Emergency Medical Services Clinicians","year":2022,"lang":"en","type":"article","venue":"Prehospital Emergency Care","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Thematic analysis; Delphi method; Medicine; Medical education; Certification; Content analysis; Likert scale; Descriptive statistics; Checklist; Delphi; Emergency medical services; Family medicine; Nursing; Medical emergency; Psychology; Qualitative research; Management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04053501,0.0004966877,0.0004551545,0.004622411,0.002372041,0.002999958,0.00128846,0.001008449,0.002812783],"category_scores_gemma":[0.06830817,0.0004009962,0.0004952028,0.00164934,0.00106014,0.003785497,0.008366931,0.002063818,0.0005837009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009487905,"about_ca_system_score_gemma":0.0396738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01135689,"about_ca_topic_score_gemma":0.01931426,"domain_scores_codex":[0.9819652,0.0101448,0.001860675,0.0007589594,0.003388555,0.001881792],"domain_scores_gemma":[0.9532758,0.01517569,0.003271093,0.0009015028,0.02197089,0.005404907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006898927,0.001041619,0.3378718,0.005406771,0.0001784149,0.0009525524,0.08415341,0.006910606,0.00762518,0.0290685,0.04142701,0.4846742],"study_design_scores_gemma":[0.0002103683,0.002508373,0.4997302,0.01062251,0.0001767343,0.001450634,0.3156992,0.02318195,0.01058142,0.02638106,0.1091881,0.0002694779],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8362353,0.003138769,0.0543787,0.03428287,0.0004225719,0.003626448,0.001743076,0.0001816853,0.06599054],"genre_scores_gemma":[0.9015765,0.0013541,0.0902622,0.001408891,0.00006466273,0.001979624,0.001078594,0.00002909515,0.002246254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04053501,"threshold_uncertainty_score":0.2143722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454432858198004,"score_gpt":0.3762874610499933,"score_spread":0.3517431324680133,"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."}}