{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009118359,0.0002972638,0.000250191,0.0005495535,0.0005714695,0.001316489,0.0007066315,0.0007483934,0.01454826],"category_scores_gemma":[0.00200551,0.0002698977,0.0002824267,0.0003092849,0.000321208,0.001254861,0.001422702,0.000423768,0.002201547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003727984,"about_ca_system_score_gemma":0.0008889067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001807967,"about_ca_topic_score_gemma":0.001990663,"domain_scores_codex":[0.9994537,0.0002536633,0.00003358523,0.00006739514,0.0001498591,0.0000417235],"domain_scores_gemma":[0.9993542,0.0001995899,0.00002295296,0.0001506654,0.0001517555,0.000120769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002939612,0.002775456,0.009064489,0.0004309499,0.0001236475,0.0003916177,0.001319696,0.06400719,0.08805043,0.04185816,0.02727699,0.7617617],"study_design_scores_gemma":[0.00112848,0.002208385,0.01401109,0.0002050863,0.0002366839,0.0008391905,0.0006690517,0.7218528,0.09015372,0.01598912,0.152493,0.0002133952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2474438,0.0002612596,0.6427296,0.001415748,0.0004408995,0.001368672,0.001018452,0.01218119,0.09314044],"genre_scores_gemma":[0.7350641,0.0002194037,0.2375335,0.0002428624,0.00006133301,0.0007164988,0.0008502328,0.000374624,0.02493756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01454826,"threshold_uncertainty_score":0.0486688,"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."}}