{"id":"W4302008270","doi":"10.1097/ruq.0000000000000622","title":"Training of Non-expert Users Using Remotely Delivered, Point-of-Care Tele-Ultrasound","year":2022,"lang":"en","type":"article","venue":"Ultrasound Quarterly","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Queen's University","funders":"","keywords":"Medicine; Point of care ultrasound; Likert scale; Dreyfus model of skill acquisition; Ultrasound; Quality (philosophy); Image quality; Medical physics; Physical therapy; Medical education; Radiology; Artificial intelligence; Computer science; Image (mathematics); Psychology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004760807,0.000375013,0.0009333125,0.0002671235,0.0003771349,0.00002814216,0.0004997842,0.0001774588,0.00147958],"category_scores_gemma":[0.0004705908,0.000390611,0.0005103807,0.0008676126,0.0004463985,0.0002030099,0.00004145648,0.0006985368,0.00002114182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000301321,"about_ca_system_score_gemma":0.0004343419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006482718,"about_ca_topic_score_gemma":0.0000359584,"domain_scores_codex":[0.9963678,0.0001520591,0.001323997,0.0006860428,0.0008996212,0.0005704905],"domain_scores_gemma":[0.9952849,0.002381631,0.0006121771,0.001039575,0.0004008389,0.0002808983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007941531,0.001072581,0.01396594,0.0003123861,0.000487202,0.00001701954,0.0611961,0.0002712708,0.8935595,0.0006860301,0.0007348037,0.02690302],"study_design_scores_gemma":[0.02162594,0.03371029,0.1443192,0.001359545,0.002764885,0.006008938,0.6769369,0.001753336,0.04213629,0.007559107,0.05769413,0.004131428],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896641,0.0004466396,0.004386266,0.0001844783,0.0003519996,0.000922466,0.0003383789,0.0001053219,0.003600334],"genre_scores_gemma":[0.9634101,0.00005054911,0.03535946,0.0004174714,0.000217463,0.00005743388,0.0002640893,0.00008912441,0.0001343513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8514232,"threshold_uncertainty_score":0.9998546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04319368482741903,"score_gpt":0.3332826742763889,"score_spread":0.2900889894489698,"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."}}