{"id":"W4400745644","doi":"10.2196/57243","title":"Usability, Ergonomics, and Educational Value of a Novel Telestration Tool for Surgical Coaching: Usability Study","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Artificial Intelligence in Medicine (Canada); University Health Network","funders":"","keywords":"Usability; Coaching; Human factors and ergonomics; Usability engineering; Pluralistic walkthrough; Value (mathematics); Human–computer interaction; Usability lab; Computer science; Knowledge management; Medicine; Engineering; Psychology; Poison control; Medical emergency","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004692359,0.0001180036,0.0002435472,0.0000837554,0.0000874736,0.00004768474,0.0000418687,0.00006654725,0.0001767248],"category_scores_gemma":[0.0001729111,0.00009537868,0.0001075921,0.00009975658,0.0001074688,0.0001014957,0.00002306748,0.0001312713,0.000001178934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007772257,"about_ca_system_score_gemma":0.0001106894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003853014,"about_ca_topic_score_gemma":0.00001571734,"domain_scores_codex":[0.9989616,0.00003653197,0.0003889264,0.0003083061,0.0001838333,0.0001208636],"domain_scores_gemma":[0.9987525,0.0008984117,0.00004713907,0.0001471662,0.00006559989,0.00008922516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002037939,0.001943993,0.9672585,0.0002527927,0.0000854086,0.000001151408,0.002410194,0.00007452592,0.0003261046,0.0256111,0.00001864384,0.001813778],"study_design_scores_gemma":[0.002677493,0.0004171873,0.9912512,0.00003912341,0.0000503425,0.000004017534,0.0005711866,0.002698247,0.00007890088,0.000573376,0.001533268,0.0001056879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980671,0.00002014382,0.00008086328,0.0001390548,0.0001192087,0.001093863,0.0000305444,0.00004632511,0.000402892],"genre_scores_gemma":[0.9994414,4.344994e-7,0.0001322557,0.00001268037,0.000141716,0.00005030691,0.00008632361,0.00001246476,0.0001223906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02503772,"threshold_uncertainty_score":0.388943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07508331325092321,"score_gpt":0.3913495416412525,"score_spread":0.3162662283903293,"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."}}