{"id":"W2008661252","doi":"10.1016/j.visres.2006.11.011","title":"Luminance texture increases perceived speed","year":2007,"lang":"en","type":"article","venue":"Vision Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Luminance; Stimulus (psychology); Perception; Artificial intelligence; Grating; Psychophysics; Texture (cosmology); Computer vision; Motion perception; Spatial frequency; Optics; Computer science; Psychology; Physics; Cognitive psychology; Motion (physics); 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00230684,0.0001125564,0.0001192975,0.0003392356,0.0006007069,0.0001692618,0.00042155,0.0001196775,0.001951602],"category_scores_gemma":[0.001924286,0.00009175736,0.00004723881,0.001009688,0.0002677518,0.0001972114,0.0001654624,0.0005305362,0.002160829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005589363,"about_ca_system_score_gemma":0.0000714956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006670307,"about_ca_topic_score_gemma":0.00001689076,"domain_scores_codex":[0.9972351,0.0003169281,0.0001966726,0.0004990485,0.001153586,0.0005987309],"domain_scores_gemma":[0.9986887,0.0005459136,0.00003398563,0.0003122208,0.0001833517,0.0002358493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001041952,0.0001460609,0.00007736681,0.00001688596,3.604474e-7,0.00005803183,0.0002729654,0.00000116216,0.9512324,0.001144477,0.004758444,0.0421877],"study_design_scores_gemma":[0.001100127,0.001074902,0.06281699,0.0002342095,0.000003256187,0.00009585021,0.00136003,0.003195525,0.8384285,0.004787711,0.08642872,0.0004741671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736121,0.00003586673,0.0006971514,0.000646386,0.000130084,0.0002189729,0.000004714734,0.0001269505,0.02452777],"genre_scores_gemma":[0.9874851,0.00007974568,0.0002290858,0.0007329358,0.0001599496,0.000002689173,0.000002095795,0.00002064225,0.01128777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1128038,"threshold_uncertainty_score":0.9989607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1608488682843738,"score_gpt":0.4779086745917491,"score_spread":0.3170598063073753,"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."}}