{"id":"W4411690749","doi":"10.1044/2025_ajslp-24-00534","title":"Let's Chat About Spoken Discourse: A Tutorial to Support Use of Spoken Discourse Analysis When Providing Aphasia Clinical Services","year":2025,"lang":"en","type":"article","venue":"American Journal of Speech-Language Pathology","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Aphasia; Discourse analysis; Psychology; Spoken language; Speech-Language Pathology; Linguistics; Computer science; Cognitive psychology; Natural language processing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001566431,0.0004299899,0.001792077,0.001281492,0.0001321143,0.00009600326,0.001221153,0.0001862263,0.000177871],"category_scores_gemma":[0.00135552,0.0003399888,0.0007932294,0.001535015,0.001465773,0.0004409466,0.0003743856,0.0007711312,0.00002002148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005775689,"about_ca_system_score_gemma":0.0003295513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000333795,"about_ca_topic_score_gemma":0.0002277812,"domain_scores_codex":[0.9950918,0.00109442,0.001767314,0.0008411717,0.0004901441,0.0007151726],"domain_scores_gemma":[0.9958056,0.00104296,0.001786568,0.000820483,0.0002236877,0.0003207132],"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":[0.002376577,0.0009776321,0.06238817,0.00009796951,0.0008514963,0.05202687,0.02947263,0.00008676036,0.5678434,0.0001835961,0.0004722594,0.2832227],"study_design_scores_gemma":[0.01650773,0.0339173,0.06298818,0.001726716,0.0178975,0.03831117,0.1433057,0.0004184405,0.6479653,0.0009578338,0.0305762,0.005427992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943997,0.0001727345,0.001249369,0.001852854,0.001626227,0.0003471728,0.0001279221,0.00004356436,0.0001804232],"genre_scores_gemma":[0.9877957,0.0001336757,0.006163541,0.004122283,0.001066886,0.000006915428,0.00001463381,0.00003730656,0.0006590285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2777947,"threshold_uncertainty_score":0.9999052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02954759726914574,"score_gpt":0.3900144575060441,"score_spread":0.3604668602368983,"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."}}