{"id":"W4383032832","doi":"10.1016/j.aei.2023.102078","title":"User-centric immersive virtual reality development framework for data visualization and decision-making in infrastructure remote inspections","year":2023,"lang":"en","type":"article","venue":"Advanced Engineering Informatics","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Usability; Computer science; Visualization; Agile software development; Bridge (graph theory); Human–computer interaction; Virtual reality; Software engineering; 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":[0.0002739854,0.0001312033,0.0001435785,0.0003070937,0.0001311696,0.0001121023,0.0004975809,0.00008238757,6.200897e-7],"category_scores_gemma":[0.0007596965,0.0001367101,0.00001396203,0.001408225,0.00001257526,0.001243036,0.000423091,0.0001383493,0.000005232672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001274625,"about_ca_system_score_gemma":0.00007440316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002821312,"about_ca_topic_score_gemma":0.000005730832,"domain_scores_codex":[0.9989293,0.000004809115,0.0004420163,0.0001735098,0.0001824955,0.0002678461],"domain_scores_gemma":[0.9987416,0.0004298746,0.0001145248,0.0005752535,0.00006353015,0.00007516616],"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":[0.000005312277,0.000008666832,0.00004186436,0.00006303722,0.00001112704,5.634552e-7,0.003593059,0.4319757,0.00001813499,0.132848,0.0001428164,0.4312917],"study_design_scores_gemma":[0.0002078385,0.00002226732,0.005734339,0.0001694408,0.000002670195,0.00000406666,0.0002846804,0.9738951,0.00005105062,0.007492427,0.01197933,0.0001567457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02828713,0.00001556773,0.9709892,0.00004428899,0.0001654367,0.0002986274,0.00002052692,0.0001617132,0.0000175501],"genre_scores_gemma":[0.2761444,0.0001299782,0.7235239,0.00007076651,0.00001707275,0.00001368494,0.00008763586,0.00001051918,0.000002072961],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5419194,"threshold_uncertainty_score":0.5574876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01944244723664142,"score_gpt":0.3174635043247617,"score_spread":0.2980210570881203,"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."}}