{"id":"W4205414844","doi":"10.2196/30456","title":"Virtual Reality Simulation Training for Cardiopulmonary Resuscitation After Cardiac Surgery: Face and Content Validity Study","year":2021,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Content validity; Cardiopulmonary resuscitation; Face validity; Ventricular fibrillation; Cardiac surgery; Medicine; Resuscitation; Virtual reality; Medical emergency; Emergency medicine; Physical therapy; Anesthesia; Surgery; Psychometrics; Computer science; Clinical psychology","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":[0.000787549,0.0001869929,0.0005443519,0.0001133492,0.0001516456,0.00004742165,0.00002910276,0.0001209376,0.00001801819],"category_scores_gemma":[0.0005678251,0.000194173,0.0001516422,0.0002361718,0.00004794895,0.0001486956,0.00002246726,0.0001393725,0.000002650542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000198373,"about_ca_system_score_gemma":0.0004794542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001305588,"about_ca_topic_score_gemma":0.00003254966,"domain_scores_codex":[0.9979737,0.0003984604,0.0005052229,0.0004962135,0.0003574968,0.0002689404],"domain_scores_gemma":[0.9968964,0.001621736,0.0001450242,0.000405221,0.0007423927,0.000189228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001210802,0.000271512,0.9416264,0.0003416531,0.0001599145,0.00003351898,0.0202832,0.002069297,0.0003084352,0.00002230702,0.0006326084,0.03304039],"study_design_scores_gemma":[0.0007423856,0.000359263,0.9588237,0.0001012271,0.0001304426,0.000006690429,0.03581822,0.002741836,0.0001318763,0.00006735031,0.0008927986,0.0001841535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935164,0.000516711,0.0004791322,0.001678772,0.0009424402,0.002568463,0.0001419024,0.0001076964,0.00004848264],"genre_scores_gemma":[0.9974182,0.00002167474,0.0001628357,0.0002756722,0.0004826618,0.0009001291,0.0004643445,0.00003734012,0.0002371437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03285623,"threshold_uncertainty_score":0.7918147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2000526585585166,"score_gpt":0.397800033726249,"score_spread":0.1977473751677324,"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."}}