{"id":"W3115123278","doi":"10.1002/mus.27163","title":"Neuromuscular ultrasound competency assessment: Consensus‐based survey","year":2020,"lang":"en","type":"article","venue":"Muscle & Nerve","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Delphi method; Medicine; Medical physics; Delphi; Specialty; Quality assessment; Ultrasound; Nominal group technique; Medical education; Competency assessment; Physical therapy; Physical medicine and rehabilitation; Knowledge management; Family medicine; Computer science; Pathology; External quality assessment; Artificial intelligence; Radiology","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":[0.02223846,0.0002565354,0.0007260003,0.00294784,0.0006251741,0.0006487358,0.0006468084,0.0009061404,0.002225732],"category_scores_gemma":[0.03612823,0.0002827306,0.0007088563,0.001451642,0.0004819561,0.001073489,0.001743268,0.0007400069,0.000880942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009822489,"about_ca_system_score_gemma":0.00191005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001155099,"about_ca_topic_score_gemma":0.001044963,"domain_scores_codex":[0.9839284,0.007528789,0.003396324,0.0008906723,0.003405218,0.0008504529],"domain_scores_gemma":[0.967177,0.01227935,0.004619439,0.0009632858,0.01357004,0.001390787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005776998,0.002430184,0.870136,0.00130556,0.0002892815,0.0004231202,0.01567433,0.001693445,0.004527778,0.0005171326,0.006585492,0.0958399],"study_design_scores_gemma":[0.0003647401,0.005769554,0.9143243,0.0006818968,0.0001701467,0.0014862,0.04261743,0.01263355,0.003943842,0.0006271728,0.01720579,0.0001753627],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871325,0.0001615152,0.005076609,0.0005413996,0.00002883465,0.002259752,0.0008536647,0.00004853281,0.003897195],"genre_scores_gemma":[0.9857039,0.0004455172,0.008780087,0.0003991114,0.00002676456,0.002607301,0.001063069,0.00001534016,0.0009589107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02223846,"threshold_uncertainty_score":0.1176096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07808616431093032,"score_gpt":0.3464689639517643,"score_spread":0.268382799640834,"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."}}