{"id":"W4313312299","doi":"10.2196/40400","title":"Usability Evaluation of the Preoperative ISBAR (Identification, Situation, Background, Assessment, and Recommendation) Desktop Virtual Reality Application: Qualitative Observational Study","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; System usability scale; Competence (human resources); Observational study; Scale (ratio); Medical education; Rating scale; Qualitative research; Psychology; Computer science; Medicine; Human–computer interaction; Usability engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004451562,0.0001522671,0.0002501453,0.00008781462,0.0009122631,0.00004288374,0.0001342096,0.00004152528,0.002213977],"category_scores_gemma":[0.0003298032,0.0001223607,0.00008073459,0.0005644604,0.0001716984,0.0002644337,0.0001195487,0.0002650116,0.000002719569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005171381,"about_ca_system_score_gemma":0.0002609337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000936885,"about_ca_topic_score_gemma":0.00007883032,"domain_scores_codex":[0.9954708,0.00200069,0.0007621009,0.0004321019,0.001215297,0.0001189861],"domain_scores_gemma":[0.9974485,0.0006131667,0.0004613648,0.0004009508,0.00100492,0.00007107437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006266191,0.001278555,0.9506001,0.00001706543,0.0001241331,5.527955e-8,0.03621264,0.0008880592,0.0004091552,0.007154792,0.0001097568,0.003142995],"study_design_scores_gemma":[0.002327023,0.000223277,0.9282723,0.000004556181,0.0001181179,5.747588e-7,0.06280226,0.004043447,0.00006151378,0.001693996,0.0003455727,0.0001073773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943227,0.000004981737,0.0008409907,0.0008133855,0.00009238139,0.002960094,0.00007242276,0.00003551455,0.000857496],"genre_scores_gemma":[0.9978275,3.628699e-7,0.00003565186,0.0001083047,0.00003761171,0.0008577367,0.0009422688,0.00001214119,0.0001784461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02658962,"threshold_uncertainty_score":0.9986981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3725677673466197,"score_gpt":0.5131962633588916,"score_spread":0.1406284960122719,"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."}}