{"id":"W3206276377","doi":"10.1016/j.cortex.2021.09.010","title":"Connected speech markers of amyloid burden in primary progressive aphasia","year":2021,"lang":"en","type":"article","venue":"Cortex","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Deafness and Other Communication Disorders; National Institute on Aging","keywords":"Primary progressive aphasia; Aphasia; Positron emission tomography; Psychology; Amyloid (mycology); Linear discriminant analysis; Perspective (graphical); Audiology; Pathology; Medicine; Artificial intelligence; Neuroscience; Computer science; Disease; Dementia","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003215858,0.000415347,0.0002505658,0.001482791,0.0003772838,0.0007708898,0.0002381883,0.0004686175,0.002273188],"category_scores_gemma":[0.001690116,0.0002445311,0.0001225278,0.0005168173,0.0006891286,0.0008011253,0.000592479,0.0004764289,0.0001976253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825909,"about_ca_system_score_gemma":0.0001589104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007451731,"about_ca_topic_score_gemma":0.00107978,"domain_scores_codex":[0.9999114,0.00002466309,0.00001172898,0.00001716556,0.00002021982,0.00001476865],"domain_scores_gemma":[0.9988406,0.0004856361,0.0004260888,0.0000604085,0.00008791489,0.00009947451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009947822,0.0003946174,0.4924573,0.0002583699,0.0004580448,0.01930325,0.002769219,0.001834095,0.4408765,0.002512267,0.0004029105,0.02878557],"study_design_scores_gemma":[0.00006938781,0.0005403199,0.9545404,0.00002867258,0.000111873,0.01204042,0.001113681,0.002029616,0.02405404,0.005141733,0.00030567,0.00002412954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992183,0.0001061848,0.0001655243,0.00001587509,0.000002556515,0.00000258059,0.00005130361,0.000004844886,0.0004328837],"genre_scores_gemma":[0.999571,0.00006351472,0.0001446603,0.000007386328,0.000006131598,0.000004483283,0.00005270604,0.000003755266,0.0001464149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002273188,"threshold_uncertainty_score":0.007604599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732813553813565,"score_gpt":0.2715900352573103,"score_spread":0.2542618997191746,"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."}}