{"id":"W2519655292","doi":"10.1016/j.cortex.2016.09.005","title":"The effect of aging on the brain network for exception word reading","year":2016,"lang":"en","type":"article","venue":"Cortex","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Institut Universitaire en Santé Mentale de Québec; Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Reading (process); Psychology; Cognitive psychology; Cognition; Word (group theory); Neuroimaging; Reading aloud; Audiology; Linguistics; 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":[0.0002495395,0.0003888028,0.0003066872,0.0003454516,0.0002053796,0.0003495749,0.000261744,0.0003011795,0.003673099],"category_scores_gemma":[0.0007662234,0.000158453,0.0002417668,0.0001356964,0.0005369781,0.0007098087,0.0003089952,0.0004018193,0.0002561463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002620251,"about_ca_system_score_gemma":0.000324798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001516645,"about_ca_topic_score_gemma":0.00246514,"domain_scores_codex":[0.9999412,0.000008592645,0.000004442629,0.00002142454,0.000007884513,0.00001644184],"domain_scores_gemma":[0.9995727,0.00008551469,0.0001159064,0.00006197023,0.00005993092,0.0001039899],"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":[0.008178097,0.000391818,0.04056326,0.0002747207,0.0002947205,0.00153246,0.0006676391,0.001756125,0.8799481,0.002821063,0.001693188,0.06187884],"study_design_scores_gemma":[0.0003333718,0.003174846,0.8229645,0.0000563705,0.0007812485,0.002005571,0.000921566,0.003756459,0.1463557,0.01363004,0.005970316,0.00005007131],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995574,0.0007857893,0.001337877,0.0001945443,0.00008046409,0.000008732374,0.000272643,0.00002751644,0.001718413],"genre_scores_gemma":[0.9968616,0.0003849993,0.0006042744,0.00006534079,0.00003800156,0.00001459087,0.0001808508,0.00003028437,0.00182011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003673099,"threshold_uncertainty_score":0.01228774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02158815280245437,"score_gpt":0.2905630833661287,"score_spread":0.2689749305636744,"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."}}