{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001220762,0.0001183898,0.000213988,0.0003427484,0.00004047098,0.00006623782,0.0008264999,0.0001500971,0.00002971025],"category_scores_gemma":[0.0008087669,0.0001081609,0.00003267102,0.002218269,0.0001134497,0.0004621123,0.0001400802,0.0002862887,0.00000570908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001473287,"about_ca_system_score_gemma":0.002134036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004923779,"about_ca_topic_score_gemma":0.000628197,"domain_scores_codex":[0.9982648,0.0001412058,0.0004530706,0.0004276325,0.0004970194,0.0002162916],"domain_scores_gemma":[0.9989499,0.0001326998,0.000081248,0.0005824097,0.0001155688,0.0001381553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002005807,0.00360101,0.007557801,0.00008833606,0.00002626235,0.000004811137,0.01212655,0.0009986155,0.0007379291,0.112495,0.001960357,0.8603833],"study_design_scores_gemma":[0.0002771301,0.0001875949,0.1188494,0.0002001083,0.000005732099,0.00001093192,0.001497533,0.8685632,0.000149349,0.00973752,0.0003176258,0.0002038537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7551146,0.0001662623,0.2411861,0.002555703,0.000213475,0.0004584438,0.000006846926,0.0001061587,0.0001924247],"genre_scores_gemma":[0.9977362,0.00002520329,0.001830893,0.000151651,0.00004390206,0.0001504684,0.000007651791,0.000008738305,0.00004530516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8675646,"threshold_uncertainty_score":0.4410672,"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."}}