{"id":"W2050269924","doi":"10.1068/p6086","title":"Modulation of Visually Evoked Movement Responses in Moving Virtual Environments","year":2009,"lang":"en","type":"article","venue":"Perception","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Virtual reality; Perception; Visual perception; Computer science; Virtual actor; Sensory cue; Natural (archaeology); Movement (music); Context (archaeology); Set (abstract data type); Motion (physics); Computer vision; Psychology; Human–computer interaction; Cognitive psychology; Artificial intelligence; Geography; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002822273,0.0001099473,0.0001211295,0.0001969115,0.0000724656,0.00002534419,0.0001042644,0.00007150209,0.0004055228],"category_scores_gemma":[0.0001417022,0.0001132092,0.00003850272,0.0001865381,0.00003563847,0.000300973,0.00002024754,0.0000932892,0.00009017121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113387,"about_ca_system_score_gemma":0.00001536599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001106386,"about_ca_topic_score_gemma":0.000003387184,"domain_scores_codex":[0.9987262,0.000170318,0.0002922463,0.0002916868,0.0003539331,0.0001656236],"domain_scores_gemma":[0.9996784,0.00003323338,0.00009993611,0.0001363812,0.000009428228,0.00004267032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000124176,0.0001620501,0.0002599033,0.000003782576,3.120822e-7,9.743754e-7,0.001505304,0.0007942253,0.9329455,0.0004833766,0.000006805025,0.06371362],"study_design_scores_gemma":[0.0009832928,0.0009307038,0.7229713,0.00007659468,0.000005855763,0.000002409433,0.0007275032,0.04184209,0.2268275,0.005222448,0.000142176,0.0002681612],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902025,0.000002219698,0.008704443,0.000148236,0.00007928691,0.0001609894,0.000003239362,0.00003759978,0.0006614223],"genre_scores_gemma":[0.9974999,0.00003835278,0.0003056767,0.0009211113,0.00003407761,0.000006477224,0.000005883525,0.000009035969,0.001179426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7227113,"threshold_uncertainty_score":0.4616538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04524121642790613,"score_gpt":0.3246717077067019,"score_spread":0.2794304912787958,"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."}}