{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01174848,0.0004377388,0.0008409815,0.001508268,0.001755473,0.001473472,0.0008434167,0.0006459475,0.001156882],"category_scores_gemma":[0.0226693,0.0003773083,0.0005795681,0.0009873671,0.002205072,0.001081942,0.001790567,0.0005457482,0.0001827612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002042932,"about_ca_system_score_gemma":0.002248301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002726561,"about_ca_topic_score_gemma":0.004105529,"domain_scores_codex":[0.9918559,0.005576395,0.0004592198,0.0004476089,0.0009794232,0.000681566],"domain_scores_gemma":[0.979545,0.01422508,0.001547312,0.0004845239,0.003429631,0.0007683719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003125959,0.0008833723,0.07536471,0.001999225,0.00005067865,0.00218652,0.8667488,0.0002387425,0.01039633,0.0004364995,0.0006129863,0.04076952],"study_design_scores_gemma":[0.00004021971,0.003763861,0.08206962,0.0008334708,0.00007304928,0.001559183,0.8991646,0.0009067903,0.005253109,0.0002073945,0.006028954,0.00009977418],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997684,0.0001814454,0.001044312,0.00006468673,0.00000656602,0.0003059339,0.00004887506,0.000005056601,0.0006590864],"genre_scores_gemma":[0.9972868,0.0003478012,0.001249263,0.00007826806,0.000005995801,0.0004413326,0.00003878928,0.000007397319,0.0005444445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01174848,"threshold_uncertainty_score":0.06213266,"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."}}