{"id":"W4403151986","doi":"10.2196/60767","title":"Acceptance of Virtual Reality in Trainees Using a Technology Acceptance Model: Survey Study","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Psychology; Virtual reality; Computer science; Human–computer interaction; World Wide Web","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":[0.005509088,0.0003245998,0.0004177383,0.0009810447,0.0004801773,0.001120689,0.0003813032,0.0006405159,0.001653886],"category_scores_gemma":[0.01323756,0.0002999096,0.0008308202,0.0008026268,0.0005921459,0.001085599,0.0009546912,0.001009752,0.0003994193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005170681,"about_ca_system_score_gemma":0.0006971289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001580316,"about_ca_topic_score_gemma":0.001396171,"domain_scores_codex":[0.9974976,0.001327185,0.0002193018,0.0001473514,0.0004896149,0.000319008],"domain_scores_gemma":[0.9916265,0.004085839,0.001674983,0.0003263629,0.00140369,0.0008827323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008139986,0.0007925831,0.9781969,0.00007640191,0.00004691689,0.00009590041,0.01034063,0.0001979935,0.0004374019,0.00007875157,0.0002338868,0.009421152],"study_design_scores_gemma":[0.00003022523,0.003224934,0.9557515,0.0001082992,0.00005825793,0.0006142248,0.03341644,0.004736199,0.0004915033,0.00008812018,0.001430809,0.00004953589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999351,0.00003182052,0.000235682,0.00004616253,0.000001779862,0.0000478949,0.00003680089,0.000002628999,0.0002462562],"genre_scores_gemma":[0.9993938,0.00006700435,0.000264368,0.00003487004,0.000002621456,0.00007539806,0.00004435539,0.000001691418,0.0001159535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005509088,"threshold_uncertainty_score":0.02913523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05165534633736271,"score_gpt":0.4184308950116958,"score_spread":0.3667755486743332,"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."}}