{"id":"W3165616342","doi":"10.1080/02687038.2021.1907295","title":"A longitudinal study of narrative discourse in post-stroke aphasia","year":2021,"lang":"en","type":"article","venue":"Aphasiology","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Toronto Rehabilitation Institute; Heart and Stroke Foundation; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; University of Toronto; Institut Universitaire de Gériatrie de Montréal; Université de Montréal","funders":"Heart and Stroke Foundation of Canada","keywords":"Aphasia; Stroke (engine); Psychology; Thematic analysis; Mean length of utterance; Language impairment; Acute stroke; Utterance; Longitudinal study; Narrative; Audiology; Developmental psychology; Medicine; Cognitive psychology; Language development; Linguistics; Qualitative research; Psychiatry; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001753059,0.0002583407,0.0002941542,0.001412625,0.001572601,0.001038094,0.0004241606,0.0004689085,0.001137249],"category_scores_gemma":[0.006852563,0.0001956327,0.0002151252,0.0008694797,0.0006470917,0.0006894417,0.0007299116,0.0005183311,0.0002698471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782095,"about_ca_system_score_gemma":0.00208902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08148037,"about_ca_topic_score_gemma":0.1072059,"domain_scores_codex":[0.9994705,0.0001538814,0.00003727119,0.00007336324,0.0001559932,0.0001089373],"domain_scores_gemma":[0.9969851,0.000590214,0.0008179795,0.0001357057,0.001098381,0.0003725599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000512472,0.0005043772,0.862906,0.0001101717,0.00005764474,0.0006546527,0.1054098,0.00007224509,0.003900569,0.0001397543,0.000411775,0.02532053],"study_design_scores_gemma":[0.000004822153,0.0002455951,0.9810143,0.00001906693,0.00001594546,0.0001906381,0.01727603,0.00007795836,0.000285656,0.00005319387,0.0008017693,0.00001499189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994074,0.0001260663,0.0000453318,0.00003041901,0.000001989331,0.00001608744,0.00009038808,0.000001828229,0.0002804417],"genre_scores_gemma":[0.9989397,0.0001280931,0.000143823,0.00001376379,0.000004133797,0.00003252556,0.0002254524,0.000001430785,0.0005110587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08148037,"threshold_uncertainty_score":0.1620122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04603944064271397,"score_gpt":0.3537095520570004,"score_spread":0.3076701114142864,"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."}}