{"id":"W3137136398","doi":"10.1371/journal.pone.0248225","title":"Transfer of training—Virtual reality training with augmented multisensory cues improves user experience during training and task performance in the real world","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Economic and Social Research Council; University of Liverpool","keywords":"Task (project management); Virtual reality; Computer science; Workload; Modalities; Sensory cue; Human–computer interaction; Training (meteorology); Augmented reality; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004517897,0.0004581006,0.0004331772,0.0002632137,0.0001161126,0.0003431886,0.0003648084,0.0003292603,0.002573562],"category_scores_gemma":[0.0014629,0.0001483689,0.0002686454,0.0001160915,0.0002929438,0.0003477454,0.0005830926,0.000382569,0.0003065466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009999971,"about_ca_system_score_gemma":0.0001416902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004432375,"about_ca_topic_score_gemma":0.0003147793,"domain_scores_codex":[0.9994926,0.0001224643,0.00004125073,0.0001047325,0.0001555834,0.00008334872],"domain_scores_gemma":[0.9995609,0.0001505071,0.00007473053,0.0001004118,0.00004326251,0.00007018289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004840406,0.006382393,0.005099053,0.0004956356,0.0001007946,0.0001542752,0.0006221206,0.003804545,0.7616304,0.0001952968,0.0003155509,0.2163596],"study_design_scores_gemma":[0.000723413,0.1519341,0.447989,0.0002096354,0.0003714853,0.001527606,0.001021757,0.02502321,0.3618499,0.001040731,0.008171547,0.0001375507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924049,0.0001534158,0.006197244,0.00003338926,0.00001703442,0.00008109703,0.00002816359,0.00006924487,0.001015481],"genre_scores_gemma":[0.9951594,0.0001426595,0.00378465,0.00002812592,0.00001641321,0.0001006066,0.00004035817,0.0000118968,0.000715862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002573562,"threshold_uncertainty_score":0.008609354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1014032241006808,"score_gpt":0.2701679499681158,"score_spread":0.168764725867435,"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."}}