{"id":"W4220771529","doi":"10.2196/28595","title":"Viewpoint: Virtual and Augmented Reality in Basic and Advanced Life Support Training","year":2022,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Erasmus+; Regione Liguria; Ministry of Science and Technology, Israel","keywords":"Virtual reality; Augmented reality; Haptic technology; Computer science; Training (meteorology); Health care; Human–computer interaction; Immersive technology; Multimedia; Simulation","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":[0.0003474224,0.0001211223,0.0002738617,0.0001560154,0.0001298587,0.00001139584,0.00004165232,0.00004323713,0.0004626687],"category_scores_gemma":[0.0001112048,0.0001306748,0.00002404216,0.000254748,0.00005958845,0.00007238633,0.00005116429,0.0002668072,0.000002459974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001659957,"about_ca_system_score_gemma":0.0004304205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000136381,"about_ca_topic_score_gemma":0.00004668559,"domain_scores_codex":[0.9987643,0.0001188959,0.0003464467,0.0003166838,0.0002249893,0.000228699],"domain_scores_gemma":[0.9992535,0.000169166,0.00009632001,0.0002132909,0.00005201683,0.0002157409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001212949,0.0003580085,0.7038972,0.0006181238,0.00005314995,0.00008216847,0.06427661,0.0006259154,0.0008635062,0.001046521,0.003137016,0.2238288],"study_design_scores_gemma":[0.002636379,0.0007268811,0.9571075,0.00007305879,0.00001628731,0.00007880849,0.02561957,0.001056906,0.00004031471,0.0002249972,0.01225423,0.0001650831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855309,0.0004568647,0.000004281205,0.01255188,0.0002309527,0.0007885016,0.00002729176,0.00007002083,0.0003392891],"genre_scores_gemma":[0.9944552,0.00005298728,0.0001231413,0.004469459,0.00007396424,0.0003808882,0.0001014361,0.00002230254,0.0003205792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2532103,"threshold_uncertainty_score":0.5328763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0386645222566323,"score_gpt":0.3562058377470622,"score_spread":0.3175413154904299,"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."}}