{"id":"W4409761624","doi":"10.1109/vrw66409.2025.00384","title":"Attention’s Substates: Unlocking Adaptive VR through EEG Insights","year":2025,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Electroencephalography; Computer science; Psychology; Neuroscience","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":[0.00007714448,0.0001068035,0.000107976,0.00008354292,0.0002372939,0.0001080591,0.0006962194,0.00004922059,0.0000195414],"category_scores_gemma":[0.00001109123,0.00009335308,0.00005620046,0.0008592493,0.00005216925,0.0005139721,0.000281794,0.0001072163,0.0001689191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009942523,"about_ca_system_score_gemma":0.00008289234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001913274,"about_ca_topic_score_gemma":0.0001442909,"domain_scores_codex":[0.9990023,0.00004410078,0.0002146027,0.0003785524,0.0001709964,0.0001894564],"domain_scores_gemma":[0.9990841,0.00009869855,0.00005950387,0.0006108647,0.0001109478,0.00003595677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001022699,0.0000550365,0.00006284397,0.0000043403,0.00002989065,0.000001513204,0.0006001933,0.0002016261,0.0003420623,0.989887,0.003192936,0.005621508],"study_design_scores_gemma":[0.0008919233,0.00007118244,0.01165659,0.0001490554,0.0000425688,0.000007467891,0.001521392,0.2535565,0.009713533,0.5574974,0.1642841,0.0006082717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001432915,0.0001114199,0.8816805,0.002819359,0.0001407634,0.0002052449,0.00000116057,0.0003153472,0.1132933],"genre_scores_gemma":[0.9479353,0.00003897516,0.0442055,0.001524777,0.00001542101,0.00007766909,0.00000721206,0.000005434414,0.006189676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9465024,"threshold_uncertainty_score":0.3806828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02233868393916225,"score_gpt":0.2784838071503705,"score_spread":0.2561451232112082,"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."}}