{"id":"W4390911577","doi":"10.1007/s10639-023-12357-5","title":"Evaluation of a virtual reality training tool for firefighters responding to transportation incidents with dangerous goods","year":2024,"lang":"en","type":"article","venue":"Education and Information Technologies","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; National Research Council Canada; University of Ottawa","funders":"National Research Council Canada","keywords":"Usability; Virtual reality; Workload; Task (project management); Training (meteorology); Computer science; Test (biology); Human–computer interaction; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001105387,0.0000868818,0.00009722063,0.0007194894,0.0000943561,0.0002073212,0.0001990437,0.00006921111,0.000001881085],"category_scores_gemma":[0.0003804084,0.00007285053,0.00002155041,0.001078533,0.00003624178,0.002926494,0.00001757489,0.0000586749,0.000003450662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110028,"about_ca_system_score_gemma":0.0004480144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001869339,"about_ca_topic_score_gemma":0.000008898632,"domain_scores_codex":[0.9990439,0.00002320957,0.000313458,0.0001465693,0.0003611474,0.0001116482],"domain_scores_gemma":[0.9992226,0.00007551968,0.0001107796,0.0002375461,0.0003246258,0.0000289153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007951042,0.00001381462,0.000014691,0.00003609344,0.000009524725,1.185829e-8,0.01028911,0.0001567622,0.0001763023,0.1821118,0.0004827135,0.8067012],"study_design_scores_gemma":[0.002793915,0.004602917,0.05017893,0.002065931,0.0004143361,0.00005321432,0.1123818,0.2978235,0.04550507,0.09465589,0.3877216,0.001802861],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3070141,0.00008955944,0.6868761,0.004164933,0.0001519284,0.0007714047,0.00003492398,0.0004026254,0.0004944564],"genre_scores_gemma":[0.9835525,0.00002868031,0.01575846,0.0001471599,0.000009476446,0.0004068573,0.00006919319,0.00000354921,0.00002419031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8048984,"threshold_uncertainty_score":0.2970758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0474400180895871,"score_gpt":0.3425174760349915,"score_spread":0.2950774579454044,"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."}}