{"id":"W2025683170","doi":"10.3758/app.71.3.451","title":"Knowledge alters visual contrast sensitivity","year":2009,"lang":"en","type":"article","venue":"Attention Perception & Psychophysics","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Contrast (vision); Sensitivity (control systems); Luminance; Contrast effect; Psychology; Computer science; Artificial intelligence","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":[0.000455411,0.0003329279,0.0005896931,0.0003909197,0.0004174866,0.001958662,0.0006934425,0.001746207,0.01801632],"category_scores_gemma":[0.006777682,0.0005247979,0.0003106084,0.0002470877,0.001294301,0.001788262,0.001130779,0.001882733,0.001272455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007122057,"about_ca_system_score_gemma":0.0006575547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002217297,"about_ca_topic_score_gemma":0.001050739,"domain_scores_codex":[0.999178,0.0001009811,0.00006057245,0.0002739062,0.0001916811,0.0001948235],"domain_scores_gemma":[0.9953904,0.002427018,0.0006388543,0.0007468727,0.0002647149,0.0005321318],"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":[0.01355512,0.001719062,0.003489875,0.0002927442,0.0001836219,0.0008780834,0.0007633903,0.000547299,0.9498948,0.003795529,0.001127579,0.02375278],"study_design_scores_gemma":[0.001393098,0.003705296,0.1374892,0.0001593153,0.0009157053,0.004198804,0.001640257,0.01156422,0.7965147,0.03216666,0.01000905,0.0002436242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991895,0.0003061411,0.001009083,0.0005588462,0.00009737846,0.00001308904,0.0001302501,0.00008668638,0.005903464],"genre_scores_gemma":[0.9962887,0.0001412814,0.000374592,0.0002186268,0.00001897537,0.000007814415,0.00009424747,0.00006585442,0.002789825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01801632,"threshold_uncertainty_score":0.06027055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04456417630573946,"score_gpt":0.3552364087599194,"score_spread":0.3106722324541799,"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."}}