{"id":"W3037785198","doi":"10.1016/j.jsurg.2020.06.011","title":"Development of the User Experience (UX) and Video Quality Evaluation (VQE) Instruments for Assessment of Intraoperative Video Capture Technology","year":2020,"lang":"en","type":"article","venue":"Journal of surgical education","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto General Hospital; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; University of Toronto; Physicians' Services Incorporated Foundation; Royal College of Physicians and Surgeons of Canada","keywords":"Computer science; Delphi method; Usability; User experience design; Medical physics; Video quality; Multimedia; Medicine; Simulation; Human–computer interaction; Artificial intelligence; Operations management; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008186047,0.00007333834,0.0002743759,0.00008791527,0.00005373002,0.00000439741,0.00006660856,0.00005929482,0.00006659928],"category_scores_gemma":[0.0004039771,0.00004661942,0.00004209653,0.0002478218,0.00006949389,0.0001169787,0.00002161141,0.0001499896,9.830281e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001291311,"about_ca_system_score_gemma":0.001651544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001287429,"about_ca_topic_score_gemma":0.0000058049,"domain_scores_codex":[0.9983892,0.00008459675,0.0008713555,0.0001030643,0.0004646103,0.00008718827],"domain_scores_gemma":[0.9981748,0.00007921765,0.0007607227,0.00007860669,0.0008162589,0.00009035824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007506866,0.0008688135,0.4806935,0.0007910988,0.0001824147,9.961476e-7,0.03859804,0.00001267696,0.04171836,0.002867793,0.001299901,0.4322158],"study_design_scores_gemma":[0.00658838,0.001039745,0.8662175,0.0004366413,0.0002263905,0.00008838855,0.04171309,0.000396495,0.05616308,0.0003377606,0.02667157,0.0001209902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814985,0.0001473356,0.0008245069,0.01664267,0.0002014827,0.0006251967,0.000002634237,0.000002584566,0.00005505986],"genre_scores_gemma":[0.9855329,0.00004716682,0.01379139,0.0004660352,0.00009991583,0.00003995231,0.000009531153,0.000004518703,0.000008527885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4320948,"threshold_uncertainty_score":0.2929768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09323376555470565,"score_gpt":0.4707953357515345,"score_spread":0.3775615701968289,"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."}}