{"id":"W4402905850","doi":"10.1167/jov.24.10.1406","title":"Gain Adaptation in Virtual Reality","year":2024,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Adaptation (eye); Virtual reality; Computer science; Cognitive psychology; Psychology; Human–computer interaction; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004512149,0.0002957715,0.0002343134,0.0002272937,0.0001553863,0.0004976919,0.0003240541,0.0003649284,0.002027641],"category_scores_gemma":[0.003908139,0.0001749781,0.0002991602,0.000136699,0.0004385562,0.0006162922,0.00112343,0.0005591899,0.0002768095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002860953,"about_ca_system_score_gemma":0.0001135999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008997829,"about_ca_topic_score_gemma":0.0004925637,"domain_scores_codex":[0.999445,0.0001901925,0.0000225776,0.0001056921,0.0001721742,0.00006436853],"domain_scores_gemma":[0.999149,0.0003848878,0.0001036937,0.000195368,0.0001049008,0.00006211019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008288521,0.0002626672,0.00788133,0.0002235699,0.00006477838,0.0002721011,0.001291739,0.01453873,0.8384002,0.003997718,0.0004206616,0.1318176],"study_design_scores_gemma":[0.0002090424,0.006974654,0.5083651,0.00014837,0.0002082877,0.004433039,0.001869446,0.1486917,0.2774832,0.0298846,0.02138788,0.0003446805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9268792,0.0006624519,0.06430482,0.0001062554,0.00004621271,0.0001022722,0.00004668198,0.000271421,0.007580793],"genre_scores_gemma":[0.9913203,0.0001715113,0.007311481,0.00003268528,0.00001237384,0.00003637616,0.00004269233,0.00002371131,0.001048907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002027641,"threshold_uncertainty_score":0.006783128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960884080005281,"score_gpt":0.3525418344900781,"score_spread":0.3229329936900253,"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."}}