{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009440397,0.000110526,0.000226052,0.00007648541,0.00003026271,0.00001214514,0.0002033594,0.00007947257,0.000313073],"category_scores_gemma":[0.0005850141,0.0001014857,0.00005783351,0.0003764282,0.0001896548,0.00005721322,0.0001019666,0.0001706209,0.00002266301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001947774,"about_ca_system_score_gemma":0.0001320302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001378878,"about_ca_topic_score_gemma":0.00001088566,"domain_scores_codex":[0.9988075,0.00017041,0.0002465433,0.0004103527,0.000135994,0.0002291331],"domain_scores_gemma":[0.9992711,0.0002371949,0.0001128824,0.0002784401,0.00005616578,0.00004423993],"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":[0.00007244875,0.00007903199,0.0008924387,0.00003022906,0.000003708728,0.01352876,0.0002857171,6.985182e-7,0.9774488,0.00003198095,0.0001787858,0.00744745],"study_design_scores_gemma":[0.0009593543,0.0001525614,0.01318239,0.00007638201,0.0000125272,0.002150613,0.0002855891,0.00002767821,0.9815127,0.0002353851,0.001212368,0.0001924636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915128,0.0003563617,0.000001903828,0.0002366488,0.000217556,0.0001810739,0.00001552529,0.00004212158,0.007436036],"genre_scores_gemma":[0.997956,0.0000401058,0.0001810742,0.0009400385,0.00005980956,0.000007198462,0.00001487985,0.00001220039,0.0007886508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01228995,"threshold_uncertainty_score":0.4138468,"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."}}