{"id":"W2144315649","doi":"10.1093/brain/awn300","title":"The neural basis of surface dyslexia in semantic dementia","year":2008,"lang":"en","type":"article","venue":"Brain","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Aging; National Institutes of Health; Canadian Centre for Applied Research in Cancer Control; Larry L. Hillblom Foundation","keywords":"Semantic dementia; Dyslexia; Psychology; Functional magnetic resonance imaging; Intraparietal sulcus; Semantic memory; Reading (process); Audiology; Dementia; Neuroscience; Cognitive psychology; Cognition; Medicine; Pathology; Frontotemporal dementia; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002010999,0.00007276302,0.0001018971,0.00002897997,0.00012038,0.000006541729,0.0002492044,0.00003243474,0.00002845343],"category_scores_gemma":[0.0005480017,0.00004927663,0.00004253029,0.0001913468,0.000244961,0.00004371405,0.00005970666,0.0001042546,0.00001843679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000411037,"about_ca_system_score_gemma":0.00002075883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005667398,"about_ca_topic_score_gemma":0.00007564725,"domain_scores_codex":[0.9991106,0.0002084195,0.0001819053,0.0001926169,0.0001013242,0.0002051525],"domain_scores_gemma":[0.9990469,0.0006574538,0.00006022523,0.00020406,0.000009204872,0.00002212714],"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":[0.00002206476,0.00004237473,0.008569623,0.00000578143,0.000002716988,0.0005410453,0.0007596567,0.00004236816,0.9875057,0.0001867418,0.001561,0.0007608884],"study_design_scores_gemma":[0.0006978692,0.0001279548,0.02448562,0.00001444157,0.000008092442,0.0006192675,0.0001556875,0.0007807572,0.9682053,0.0003151841,0.004404246,0.0001856239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966129,0.0001784754,0.000003496142,0.002430325,0.0001540935,0.0001040578,0.00000353735,0.0000213012,0.0004918049],"genre_scores_gemma":[0.9975963,0.00002955726,0.0000326374,0.001581045,0.0000202991,0.000001487421,5.289732e-7,0.000006780628,0.0007313843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01930049,"threshold_uncertainty_score":0.2009443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03550897299551367,"score_gpt":0.2752217460352636,"score_spread":0.2397127730397499,"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."}}