{"id":"W2751926322","doi":"10.1002/aet2.10064","title":"Sonographic Accuracy as a Novel Tool for Point‐of‐care Ultrasound Competency Assessment","year":2017,"lang":"en","type":"article","venue":"AEM Education and Training","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; Cancer Care Ontario","keywords":"Medicine; Point of care ultrasound; Point of care; Curriculum; Competency assessment; Ultrasound; Physical therapy; Medical physics; Psychology; Radiology; Medical education; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004215342,0.0006544655,0.0004601964,0.003474187,0.0002645509,0.001544431,0.0006496731,0.0006891552,0.002761163],"category_scores_gemma":[0.02460118,0.00029056,0.0004273527,0.001747806,0.0005486202,0.00166349,0.001196124,0.0006469822,0.0007608791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004955506,"about_ca_system_score_gemma":0.0006159671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001167293,"about_ca_topic_score_gemma":0.001927608,"domain_scores_codex":[0.9948173,0.001531444,0.0005030993,0.0004395882,0.002527631,0.0001808908],"domain_scores_gemma":[0.9808326,0.01041294,0.003252044,0.0008509223,0.004226017,0.0004255608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009325108,0.0004699477,0.6919888,0.0005270171,0.0003177694,0.0001914697,0.001085327,0.003379837,0.01888618,0.001789368,0.001795283,0.2786366],"study_design_scores_gemma":[0.0001528705,0.003452181,0.8736822,0.0003268545,0.0004971481,0.003261921,0.001263671,0.08021288,0.02798109,0.001794314,0.007199716,0.0001751464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8443916,0.00152841,0.1380097,0.0004338905,0.0002669636,0.0003605337,0.0009211916,0.0009651216,0.01312268],"genre_scores_gemma":[0.9375796,0.0003194031,0.06039706,0.00006192041,0.000104212,0.0001735238,0.0002253357,0.00004399361,0.001094937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004215342,"threshold_uncertainty_score":0.02229315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06990355109067514,"score_gpt":0.4350441357814792,"score_spread":0.3651405846908041,"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."}}