{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01681782,0.000346252,0.0005815482,0.001464618,0.0007747347,0.0009896415,0.0006473051,0.0004679291,0.001293194],"category_scores_gemma":[0.05059923,0.0002868224,0.001203933,0.0008351735,0.001108603,0.0009647944,0.001675529,0.0005965027,0.0001828979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108376,"about_ca_system_score_gemma":0.001753249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006301539,"about_ca_topic_score_gemma":0.0009564606,"domain_scores_codex":[0.9885231,0.00691954,0.0010643,0.0006710688,0.002448987,0.0003729505],"domain_scores_gemma":[0.947185,0.03695398,0.004732319,0.002527302,0.007723387,0.0008779863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009635742,0.002511021,0.8901367,0.0006766976,0.0004547311,0.0001929719,0.03875132,0.0009849098,0.003848407,0.0007863548,0.0005587003,0.06013464],"study_design_scores_gemma":[0.0003723644,0.00627729,0.9301814,0.0005980363,0.0004124062,0.0009603195,0.03868892,0.01184653,0.004350267,0.0009181987,0.005248657,0.000145527],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970025,0.00007854961,0.00123773,0.00005362015,0.00001698161,0.0006245368,0.00004976649,0.000005587897,0.0009305765],"genre_scores_gemma":[0.9963819,0.0001076122,0.002232321,0.00006170341,0.00001364583,0.0009738851,0.0000834629,0.000005245144,0.0001401093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01681782,"threshold_uncertainty_score":0.08894223,"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."}}