{"id":"W2132559335","doi":"10.1093/llc/fqr013","title":"Longitudinal detection of dementia through lexical and syntactic changes in writing: a case study of three British novelists","year":2011,"lang":"en","type":"article","venue":"Literary and Linguistic Computing","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":231,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Natural Sciences and Engineering Research Council of Canada","keywords":"Agatha; Syntax; Linguistics; Dementia; Reading (process); Psychology; Pronoun; Vocabulary; History; Literature; Art; Medicine; Disease; Philosophy","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":[0.0008072724,0.0006878541,0.0006151185,0.002742609,0.005909259,0.001613915,0.0008793192,0.001887612,0.0009668196],"category_scores_gemma":[0.005486477,0.0008289614,0.0004548743,0.001785611,0.002008826,0.001296139,0.001922884,0.001846298,0.0005648605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002479084,"about_ca_system_score_gemma":0.00116845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08023816,"about_ca_topic_score_gemma":0.1638246,"domain_scores_codex":[0.9990683,0.00019698,0.00009796995,0.0001855312,0.0002159088,0.0002352164],"domain_scores_gemma":[0.9974522,0.0006481856,0.000669444,0.0002195074,0.0005256461,0.000484967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004851694,0.001130435,0.4483716,0.0001487336,0.00006792034,0.2017691,0.3165839,0.0000912524,0.01156611,0.0003703891,0.001249902,0.01816547],"study_design_scores_gemma":[0.00004237535,0.0006832113,0.6307182,0.0001098337,0.0001023489,0.2505584,0.105933,0.0004060903,0.003186944,0.0004418621,0.007621986,0.0001957735],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990107,0.0001413075,0.00007489896,0.0001147221,0.000006204615,0.00001824076,0.00004035197,0.000004612044,0.0005888552],"genre_scores_gemma":[0.9976794,0.0003789933,0.0004912121,0.0001602858,0.00001784188,0.00003191889,0.000107179,0.00001669092,0.001116574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08023816,"threshold_uncertainty_score":0.1595423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0686886437395817,"score_gpt":0.2958826444705362,"score_spread":0.2271940007309546,"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."}}