{"id":"W2102193310","doi":"10.1016/j.neuropsychologia.2009.10.024","title":"Neural correlates of top-down letter processing","year":2009,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Reading and Literacy Development","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Precuneus; Psychology; Top-down and bottom-up design; Inferior parietal lobule; Sensory processing; Cognitive psychology; Levels-of-processing effect; Word processing; Task (project management); Neuroscience; Functional magnetic resonance imaging; Cognition; Speech recognition; Computer science; Sensory system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001511853,0.0001791284,0.0002208362,0.0001027974,0.00007304868,0.00004122295,0.000276123,0.0001081977,0.0005766189],"category_scores_gemma":[0.00003507645,0.0001479285,0.00007190148,0.000275227,0.00007210574,0.00008539291,0.00001779825,0.0003064024,0.0002058688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009336874,"about_ca_system_score_gemma":0.000008696892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005701615,"about_ca_topic_score_gemma":1.044157e-7,"domain_scores_codex":[0.9985873,0.0001064096,0.0003884081,0.000416605,0.0001544094,0.0003469348],"domain_scores_gemma":[0.9992821,0.00005195698,0.0001630808,0.000383203,0.00005585488,0.00006375303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003582441,0.0006738102,0.09458147,0.00002102848,0.00003479825,0.0003553758,0.005205125,0.00002694127,0.01210845,0.001077459,0.1573734,0.7281839],"study_design_scores_gemma":[0.0006479607,0.00043773,0.9761629,0.00003162288,0.0000134188,0.0001555144,0.000053386,0.0000540529,0.0003108555,0.0003263031,0.02157931,0.0002269351],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9081895,0.0002173274,0.0001604764,0.001284831,0.001403905,0.0001313198,0.00000227374,0.0001446134,0.0884657],"genre_scores_gemma":[0.9878383,0.000003549901,0.0004673454,0.006419972,0.0001496961,0.000007704964,0.000005420991,0.00001675244,0.005091315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8815814,"threshold_uncertainty_score":0.6313573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987347056118243,"score_gpt":0.310786773256327,"score_spread":0.2909133026951445,"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."}}