{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009773127,0.0001903158,0.0001511085,0.0001706818,0.0002627396,0.0003223003,0.000341244,0.0003552691,0.00411711],"category_scores_gemma":[0.004723541,0.0001595345,0.0001138237,0.00007923749,0.0001970527,0.0003196497,0.0004285639,0.0002814815,0.0006825588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003370845,"about_ca_system_score_gemma":0.0005440496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002705467,"about_ca_topic_score_gemma":0.005321205,"domain_scores_codex":[0.9994051,0.0001770772,0.00003419481,0.0001091932,0.0001773243,0.00009715856],"domain_scores_gemma":[0.9975438,0.0008273488,0.0003469624,0.0001348745,0.000548183,0.000598843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002137884,0.01936942,0.713483,0.0005570822,0.00006978383,0.0008451602,0.0151049,0.001121183,0.05829111,0.00004714197,0.001813786,0.1871597],"study_design_scores_gemma":[0.0000863385,0.01103271,0.9804601,0.00004729588,0.0000180502,0.0004361331,0.002201707,0.0008622056,0.003768343,0.00001572896,0.001056092,0.00001528958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994455,0.00001720276,0.00008588094,0.0000159418,0.000001681899,0.00003015501,0.00001230236,0.00000450266,0.0003869114],"genre_scores_gemma":[0.9984475,0.00003529012,0.0004519731,0.0000536322,0.000002825964,0.00003484842,0.00003509312,0.000001382749,0.0009376128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00411711,"threshold_uncertainty_score":0.01377308,"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."}}