{"id":"W3049355337","doi":"10.1002/aet2.10520","title":"The Ultrasound Competency Assessment Tool (UCAT): Development and Evaluation of a Novel Competency‐based Assessment Tool for Point‐of‐care Ultrasound","year":2020,"lang":"en","type":"article","venue":"AEM Education and Training","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Queen's University","funders":"Southeastern Ontario Academic Medical Organization; University of Calgary","keywords":"Intraclass correlation; Cronbach's alpha; Medical physics; Delphi method; Medicine; Reliability (semiconductor); Delphi; Ultrasound; Competency assessment; Point of care ultrasound; Medical education; Computer science; Radiology; Artificial intelligence; Psychometrics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.02480103,0.0005442498,0.0005996741,0.001701193,0.0006443528,0.001300993,0.001112769,0.0006902968,0.00134369],"category_scores_gemma":[0.04819989,0.0003200034,0.001055121,0.0008733731,0.0007521054,0.001502687,0.001836819,0.001036674,0.0002485802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002830725,"about_ca_system_score_gemma":0.009918431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006693729,"about_ca_topic_score_gemma":0.01270985,"domain_scores_codex":[0.9839231,0.008051773,0.002059999,0.0006234216,0.004918777,0.0004227968],"domain_scores_gemma":[0.977631,0.01215245,0.001776173,0.0005830337,0.00713145,0.0007257895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001211705,0.004395755,0.1451788,0.002992918,0.0003408661,0.0004360226,0.008634019,0.006497334,0.008998883,0.004532826,0.009620528,0.8071603],"study_design_scores_gemma":[0.002426619,0.01484645,0.76399,0.004364344,0.0007297328,0.002756051,0.009740062,0.1313301,0.0207906,0.004274704,0.04409792,0.0006535072],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8619845,0.0008396101,0.09901728,0.001437115,0.0002925984,0.02611523,0.0009381246,0.0003120905,0.009063557],"genre_scores_gemma":[0.6340907,0.0006385639,0.345658,0.000310678,0.0000366491,0.01700609,0.0007341363,0.00003754488,0.001487613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02480103,"threshold_uncertainty_score":0.1311619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0901256441873478,"score_gpt":0.4136943989834413,"score_spread":0.3235687547960935,"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."}}