{"id":"W9772929","doi":"10.5220/0002780700540061","title":"MERITS TRAINING SYSTEM - Using Virtual Worlds for Simulation-based Training","year":2010,"lang":"en","type":"article","venue":"","topic":"Transport and Logistics Innovations","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Training (meteorology); Computer science; Training system; Metaverse; Virtual reality; Virtual training; Human–computer interaction; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001698469,0.0001255116,0.0001541919,0.0001287946,0.0001305976,0.00003496106,0.0000816285,0.00009327133,0.00006724171],"category_scores_gemma":[0.00004227723,0.0001312428,0.00005441022,0.0002290937,0.0000286041,0.00007821879,0.000001881851,0.0001689983,0.000002966028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002524309,"about_ca_system_score_gemma":0.00004974801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005628655,"about_ca_topic_score_gemma":0.00008005205,"domain_scores_codex":[0.9992734,0.000003031696,0.0002721643,0.0001233999,0.0000953466,0.0002327168],"domain_scores_gemma":[0.9994542,0.0002690174,0.00002515012,0.0001294849,0.00007038614,0.00005173393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003477761,0.000004161656,0.00009820156,0.0000433387,0.00001773565,9.832972e-7,0.0005499162,0.9269834,0.0121423,0.05585226,0.000009086015,0.004295174],"study_design_scores_gemma":[0.000331063,0.00001124217,0.0002140234,0.00002623882,0.00002206227,8.214016e-7,0.0005357225,0.9956244,0.00064167,0.00007406452,0.002344105,0.0001746423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1658104,0.000003276922,0.8289828,0.000012844,0.0008392344,0.0001538451,0.00003217158,0.0005812085,0.003584155],"genre_scores_gemma":[0.9325095,3.51938e-8,0.06704417,0.00002715891,0.0002542957,0.00001954478,0.00004939084,0.0000399807,0.00005586066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7666991,"threshold_uncertainty_score":0.5351926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07949518988467737,"score_gpt":0.2849251675065008,"score_spread":0.2054299776218235,"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."}}