{"id":"W4283782632","doi":"10.52098/airdj.202254","title":"VR/AR Environment for Training Students on Engineering Applications and Concepts","year":2022,"lang":"en","type":"article","venue":"Artificial Intelligence & Robotics Development Journal","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Ministry of Higher Education, Research and Innovation","keywords":"Augmented reality; Virtual reality; Computer science; Task (project management); Human–computer interaction; Multimedia; Engineering management; Systems engineering; Engineering","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":[0.0008036499,0.0001644884,0.0001555253,0.0001563092,0.001220292,0.0002558868,0.0009333705,0.00003192325,0.00003025141],"category_scores_gemma":[0.00002518465,0.0001812697,0.00005008098,0.000225973,0.00004671171,0.0001443123,0.0004067695,0.0003461535,0.00002773743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003181276,"about_ca_system_score_gemma":0.0001403809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000103361,"about_ca_topic_score_gemma":0.000001608985,"domain_scores_codex":[0.998103,0.00004203817,0.0005551634,0.0003629184,0.0005777495,0.0003590888],"domain_scores_gemma":[0.9991422,0.0001800789,0.0001919278,0.0002595638,0.0000462793,0.0001799196],"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":[0.000006882144,0.0002246402,0.00005201821,0.000005811279,0.00005176709,0.000003743509,0.004617544,0.5834694,0.0003544501,0.1436708,0.00003988754,0.2675031],"study_design_scores_gemma":[0.0004565659,0.0008846365,0.001523825,0.00009438149,0.00008642524,0.0004576543,0.008868051,0.676089,0.01441914,0.07390051,0.221322,0.001897713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002298674,0.00005916783,0.9957614,0.000998127,0.0002145437,0.0005717339,0.000004374284,0.00005262542,0.00003935459],"genre_scores_gemma":[0.6707742,0.00005563833,0.327869,0.0003637264,0.0001229618,0.0006923198,0.00001226544,0.00002383452,0.00008606454],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6684756,"threshold_uncertainty_score":0.9385625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07369055188535319,"score_gpt":0.3187565241123699,"score_spread":0.2450659722270168,"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."}}