{"id":"W2298057654","doi":"10.1016/j.bandl.2016.02.002","title":"Regularity and beyond: Impaired production and comprehension of inflectional morphology in semantic dementia","year":2016,"lang":"en","type":"article","venue":"Brain and Language","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; Centre hospitalier universitaire de Québec; Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Morpheme; Psychology; Inflection; Semantic dementia; Verb; Comprehension; Language production; Linguistics; Contrast (vision); Task (project management); Semantics (computer science); Cognitive psychology; Cognition; Semantic memory; Past tense; Morphophonology; Dementia; Phonology; Artificial intelligence; Disease; Computer science; Neuroscience","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":[0.0005948429,0.0007395441,0.0004287462,0.001224807,0.000411551,0.0007981125,0.0004037468,0.0006725162,0.002769002],"category_scores_gemma":[0.002983237,0.0004195389,0.000220065,0.0004713242,0.001936553,0.001293666,0.000862856,0.0005730666,0.0003259308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002100092,"about_ca_system_score_gemma":0.000312999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001348485,"about_ca_topic_score_gemma":0.001235432,"domain_scores_codex":[0.9997728,0.000039783,0.0000456878,0.00006009346,0.00005030909,0.00003135997],"domain_scores_gemma":[0.9987572,0.0004843832,0.0003959167,0.000203624,0.00005835106,0.0001005232],"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":[0.01254504,0.001099369,0.2947766,0.0004328904,0.0002299669,0.04940232,0.00985769,0.001315754,0.55706,0.003634051,0.001022445,0.06862395],"study_design_scores_gemma":[0.000192612,0.001241927,0.8979548,0.00004060009,0.0001391866,0.0481876,0.003037261,0.002820666,0.03352312,0.01196215,0.000829791,0.00007034414],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990265,0.00003976741,0.0002748015,0.00003940386,0.000004674469,0.000004842782,0.00005229746,0.00001373919,0.0005438529],"genre_scores_gemma":[0.999454,0.00002824867,0.0002119117,0.00001655841,0.000008053749,0.000004066894,0.00005744593,0.00001061737,0.0002090878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002769002,"threshold_uncertainty_score":0.009263217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605231352101226,"score_gpt":0.2644746987947296,"score_spread":0.2484223852737173,"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."}}