{"id":"W4391324453","doi":"10.1167/jov.24.1.10","title":"Asymmetric stimulus representations bias visual perceptual learning","year":2024,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Université de Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Montréal","keywords":"Stimulus (psychology); Visual cortex; Perception; Perceptual learning; Psychology; Cognitive psychology; Visual perception; Motion perception; Artificial intelligence; Neuroscience; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008851253,0.0002887699,0.0003309544,0.0002139463,0.0001415133,0.0007305573,0.0004151395,0.000517707,0.001124988],"category_scores_gemma":[0.009922951,0.0003445331,0.0002172215,0.0001283165,0.0007751398,0.0008672399,0.0006388559,0.0007536483,0.0001581684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006254722,"about_ca_system_score_gemma":0.0003580492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294577,"about_ca_topic_score_gemma":0.001339721,"domain_scores_codex":[0.9994476,0.000164716,0.00003649638,0.0001314353,0.0001255178,0.00009412608],"domain_scores_gemma":[0.9961117,0.00243242,0.0005638062,0.0005280431,0.0002005032,0.0001635573],"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":[0.00133791,0.0002823955,0.03027875,0.0002613567,0.0001798423,0.000279709,0.000655608,0.157967,0.74145,0.01364608,0.000820583,0.05284071],"study_design_scores_gemma":[0.0001482628,0.000390441,0.05322837,0.0000365921,0.0001051423,0.0002586466,0.0001415839,0.7875425,0.1279261,0.02910821,0.001040274,0.00007382389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829297,0.00005681337,0.01498719,0.00008962905,0.00001545324,0.00001660642,0.0000255856,0.0001000031,0.001779111],"genre_scores_gemma":[0.9975611,0.00002905607,0.002112798,0.00003477222,0.000002935102,0.000005833921,0.00002354164,0.00002174289,0.0002081653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001294577,"threshold_uncertainty_score":0.004681051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08967262062716735,"score_gpt":0.4141676232448684,"score_spread":0.3244950026177011,"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."}}