{"id":"W4226175441","doi":"10.1093/cercor/bhac175","title":"Training allows switching from limited-capacity manipulations to large-capacity perceptual processing","year":2022,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Université Laval","funders":"European Research Council; Canadian Institutes of Health Research; Canada First Research Excellence Fund; Azrieli Foundation; Israel Science Foundation; International Development Research Centre; McGill University","keywords":"Task (project management); Perception; Functional magnetic resonance imaging; Working memory; Psychology; Tone (literature); Cognition; Limiting; Cognitive psychology; Auditory perception; Audiology; Neuroscience; Medicine","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":[0.0001704505,0.000495179,0.0003099733,0.0002033983,0.0001471105,0.0002432178,0.0004542971,0.0002872553,0.003621493],"category_scores_gemma":[0.0005029548,0.0001523429,0.0002037572,0.00008328554,0.0004073201,0.0002608442,0.0004449975,0.0006857265,0.0003577376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001219051,"about_ca_system_score_gemma":0.0002053973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000352443,"about_ca_topic_score_gemma":0.000585735,"domain_scores_codex":[0.9998043,0.00001392465,0.00001997016,0.00009335647,0.00003049562,0.00003786322],"domain_scores_gemma":[0.9996742,0.00006963937,0.00007329062,0.00006962296,0.00002550327,0.0000878149],"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":[0.0006341339,0.001793087,0.0008804188,0.00008502437,0.00001455448,0.00006136693,0.00009454873,0.0001236203,0.9831111,0.0001070082,0.00009035257,0.01300477],"study_design_scores_gemma":[0.00018899,0.02196115,0.06529367,0.00005234426,0.0001527886,0.0006477145,0.0001556152,0.003460015,0.9014089,0.0008453424,0.005797317,0.00003606751],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953994,0.00009602129,0.003281643,0.00004617343,0.00003260784,0.0001039116,0.00009207237,0.00007829327,0.0008697917],"genre_scores_gemma":[0.9852766,0.0002150573,0.00803336,0.00007745407,0.00002585835,0.0004175961,0.000268412,0.00005059261,0.00563496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003621493,"threshold_uncertainty_score":0.01211506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3055819825210748,"score_gpt":0.3559495285570057,"score_spread":0.05036754603593091,"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."}}