{"id":"W4320856599","doi":"10.2196/40040","title":"Technology Acceptance and Authenticity in Interactive Simulation: Experimental Study","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interactivity; Computer science; Wilcoxon signed-rank test; Interactive simulation; Technology acceptance model; Test (biology); Flexibility (engineering); Exploratory research; Usability; Psychology; Multimedia; Human–computer interaction; Mann–Whitney U test; Simulation; Medicine; Statistics","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":[0.006279506,0.001019106,0.001008524,0.0008999613,0.001066696,0.001614752,0.00120931,0.001051051,0.008340072],"category_scores_gemma":[0.01870274,0.0006989424,0.0008660883,0.0005641983,0.001864102,0.001443282,0.002221967,0.00238901,0.0008198379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006932258,"about_ca_system_score_gemma":0.001297027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003386569,"about_ca_topic_score_gemma":0.0003145084,"domain_scores_codex":[0.9952727,0.002298628,0.0003919496,0.0005604976,0.0007814483,0.0006948437],"domain_scores_gemma":[0.9751833,0.0162504,0.002395914,0.002043551,0.001412507,0.002714212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02445422,0.7409147,0.08820263,0.0008258963,0.0001715124,0.0007949618,0.04899311,0.004225644,0.03138959,0.002100464,0.0005404647,0.05738682],"study_design_scores_gemma":[0.0108454,0.7028666,0.1983965,0.0002157415,0.000341742,0.0007075469,0.02303765,0.01422032,0.04144112,0.002204046,0.005418428,0.000304935],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987811,0.000005592134,0.0003169129,0.000008289536,0.000004868809,0.0004227308,0.000011402,0.000003604268,0.0004455021],"genre_scores_gemma":[0.9946566,0.00004209034,0.001964055,0.00003577653,0.00002518331,0.002248123,0.00005332345,0.000005092322,0.0009697748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008340072,"threshold_uncertainty_score":0.03320962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03105211718567421,"score_gpt":0.4714458041667438,"score_spread":0.4403936869810696,"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."}}