{"id":"W3205511361","doi":"10.2196/31644","title":"How, for Whom, and in Which Contexts or Conditions Augmented and Virtual Reality Training Works in Upskilling Health Care Workers: Realist Synthesis","year":2021,"lang":"en","type":"review","venue":"JMIR Serious Games","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Health and Social Care; National Institute for Health and Care Research","keywords":"Augmented reality; Virtual reality; Health care; Training (meteorology); Resource (disambiguation); Social reality; Psychology; Sociology; Business; Computer science; Human–computer interaction; Political science; Social science; Law","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":[0.06903239,0.001841612,0.003785826,0.01743134,0.002373799,0.01022105,0.002864461,0.002596056,0.006402987],"category_scores_gemma":[0.1628944,0.001077798,0.005066261,0.0118202,0.005804128,0.008257641,0.005951026,0.002759917,0.0004459581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01575265,"about_ca_system_score_gemma":0.02427804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007313481,"about_ca_topic_score_gemma":0.01021409,"domain_scores_codex":[0.9376028,0.03846417,0.01272269,0.004394971,0.005444347,0.001371138],"domain_scores_gemma":[0.7722269,0.2071321,0.008525996,0.003929317,0.007667326,0.0005183365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0004913406,0.0001370362,0.00459382,0.6120245,0.00459457,0.0007361911,0.09964818,0.001846442,0.0007709663,0.06151092,0.003621296,0.2100247],"study_design_scores_gemma":[0.0002822211,0.0004764379,0.007111197,0.7395572,0.015332,0.0004353961,0.1100104,0.001350525,0.001653925,0.04017053,0.08348695,0.0001331646],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.09920774,0.7179655,0.07276871,0.02763393,0.002276395,0.03097827,0.006420175,0.0001725979,0.04257658],"genre_scores_gemma":[0.5550533,0.3094386,0.08563693,0.006946911,0.0003450659,0.03860101,0.001799674,0.00009759153,0.002080894],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.06903239,"threshold_uncertainty_score":0.3650826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1067103240076636,"score_gpt":0.445454827853032,"score_spread":0.3387445038453684,"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."}}