{"id":"W2546943291","doi":"10.1167/16.13.6","title":"Perceptual suppression of predicted natural images","year":2016,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Eye Institute; York University; University of California Berkeley; National Institutes of Health; National Science Foundation","keywords":"Perception; Binocular rivalry; Contrast (vision); Selection (genetic algorithm); Cognitive psychology; Visual perception; Context (archaeology); Psychology; Natural (archaeology); Perceptual learning; Artificial intelligence; Sensory system; Computer science; Communication; Pattern recognition (psychology); Biology; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003543992,0.0001649206,0.0001668033,0.0001454222,0.0001136557,0.0003796624,0.0002557242,0.0001875444,0.001201271],"category_scores_gemma":[0.003455599,0.0001515292,0.000140755,0.00007032291,0.0003574074,0.0004020971,0.0005264016,0.0005111078,0.0001188601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002667626,"about_ca_system_score_gemma":0.0002982074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005843755,"about_ca_topic_score_gemma":0.0007115601,"domain_scores_codex":[0.9996911,0.0000413786,0.00001719156,0.00008375177,0.0001305443,0.00003606786],"domain_scores_gemma":[0.9984404,0.0006995352,0.0003115905,0.000223298,0.0001713043,0.0001539085],"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":[0.0007565435,0.00007047448,0.01169634,0.0000859736,0.00003022589,0.0001139621,0.0001785462,0.001468223,0.9662476,0.0007663489,0.000142373,0.01844349],"study_design_scores_gemma":[0.00006643096,0.002162615,0.3216906,0.00004559306,0.00008805995,0.001386976,0.0003145541,0.03590271,0.6298081,0.006366574,0.002104045,0.00006370193],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906087,0.0001192055,0.007247246,0.00004433276,0.00001246229,0.000008468693,0.00002511889,0.00006874464,0.001865642],"genre_scores_gemma":[0.9982766,0.000036732,0.001385197,0.00003137767,0.000003870767,0.000004598333,0.00003429053,0.00001800202,0.0002093787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001201271,"threshold_uncertainty_score":0.004018664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03006315144294494,"score_gpt":0.3394592932155456,"score_spread":0.3093961417726007,"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."}}