{"id":"W4318433499","doi":"10.1007/7854_2022_409","title":"Eye Tracking in Virtual Reality","year":2023,"lang":"en","type":"article","venue":"Current topics in behavioral neurosciences","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Eye tracking; Virtual reality; Computer science; Eye movement; Tracking (education); Perception; Human–computer interaction; Computer vision; Optical head-mounted display; Eye tracking on the ISS; Artificial intelligence; Computer graphics (images); Psychology","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":[0.00047458,0.0001260716,0.0001632775,0.0004657053,0.00009514174,0.0001327798,0.001198964,0.00006078278,0.000001874984],"category_scores_gemma":[0.00009385126,0.0001189605,0.00003964911,0.002263968,0.0002052395,0.000418891,0.0003245095,0.000379851,0.00001738914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004540548,"about_ca_system_score_gemma":0.00005054496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004615288,"about_ca_topic_score_gemma":0.0001302198,"domain_scores_codex":[0.9982804,0.00009159831,0.0002913765,0.0005831625,0.0003076675,0.0004457767],"domain_scores_gemma":[0.999471,0.00004182079,0.00006414411,0.0003498678,0.00002276583,0.00005038177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001253484,0.0003171507,0.5902732,0.0000068882,1.456379e-7,0.0001091559,0.000453869,0.0002640752,0.001376599,0.02415708,0.0001086178,0.382932],"study_design_scores_gemma":[0.0001835178,0.0001143393,0.9831165,0.00004004363,0.000001032171,0.000002600363,0.00006923763,0.01040263,0.0007368997,0.002757195,0.002392972,0.0001829966],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923624,0.00003259491,0.00233461,0.001279482,0.003472998,0.000103156,0.000002096072,0.0003454312,0.00006726546],"genre_scores_gemma":[0.9996456,0.00004802179,0.0001327648,0.00002446282,0.00003449735,0.00001869251,0.000001386665,0.000003692112,0.0000909017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3928433,"threshold_uncertainty_score":0.485107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1481389929112225,"score_gpt":0.4166185298234148,"score_spread":0.2684795369121923,"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."}}