{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004398138,0.0008602168,0.0005269555,0.0006050342,0.0004272568,0.0007892873,0.0008348747,0.0007625424,0.06402279],"category_scores_gemma":[0.0007274165,0.000220422,0.0005277729,0.000345255,0.0001635282,0.0005846042,0.001421802,0.0009815262,0.01705919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001153784,"about_ca_system_score_gemma":0.0005242222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002214842,"about_ca_topic_score_gemma":0.0004668011,"domain_scores_codex":[0.9997272,0.00006707096,0.00001782807,0.00005745407,0.00007569544,0.00005468239],"domain_scores_gemma":[0.9996737,0.00008743021,0.00002242712,0.00004219583,0.00006815959,0.0001060591],"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":[0.0007622661,0.005015931,0.004068966,0.001661072,0.00004298972,0.001086803,0.002840832,0.005860613,0.1480001,0.01246602,0.1134597,0.7047347],"study_design_scores_gemma":[0.0005610444,0.005647067,0.0206603,0.0005914001,0.0001424649,0.004042545,0.00187591,0.02385102,0.05794821,0.007653411,0.8767754,0.0002512242],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1737158,0.001807691,0.5811468,0.00185706,0.001037643,0.003689824,0.004905507,0.02739719,0.2044424],"genre_scores_gemma":[0.3604797,0.002376731,0.4684583,0.001024123,0.0004856759,0.003486057,0.003703467,0.00110082,0.1588851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06402279,"threshold_uncertainty_score":0.2141775,"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."}}