{"id":"W4411050864","doi":"10.13092/0q795w77","title":"Linguistic biomarkers of dementia in Italian patients living in Lombardy: insights from NLP analysis","year":2025,"lang":"en","type":"article","venue":"Linguistik Online","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dementia; Linguistic analysis; Natural language processing; Linguistics; Artificial intelligence; Psychology; Medicine; Computer science; Philosophy; Pathology; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007139559,0.0004843585,0.0004116987,0.002730655,0.0004231181,0.00107559,0.0003095643,0.0005120534,0.001087231],"category_scores_gemma":[0.003866479,0.0001495632,0.000292752,0.001362186,0.0004656474,0.0003678882,0.0008220793,0.0002628526,0.0003645126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000452859,"about_ca_system_score_gemma":0.0002811602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01079601,"about_ca_topic_score_gemma":0.009583045,"domain_scores_codex":[0.999622,0.0001544587,0.00004349742,0.00008203006,0.00004730632,0.00005066446],"domain_scores_gemma":[0.9989212,0.0004501191,0.0003548673,0.00007659401,0.0001336452,0.00006364636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004579888,0.000113263,0.9516971,0.0002315202,0.00009577663,0.002591101,0.01201144,0.0002701868,0.004913565,0.0001712893,0.0008162002,0.02663069],"study_design_scores_gemma":[0.000004705944,0.00004791881,0.9962074,0.00002328235,0.00003020544,0.0006967084,0.001840923,0.0003530187,0.0001422396,0.00007135382,0.0005753916,0.000006813139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977434,0.0004613568,0.0003230287,0.0001549946,0.000004650336,0.0000278599,0.0004275466,0.00000983066,0.0008472773],"genre_scores_gemma":[0.9976423,0.0004058493,0.0007561338,0.00005023602,0.00002489987,0.00006509064,0.0007138264,0.000006532668,0.0003350838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01079601,"threshold_uncertainty_score":0.02146631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0246521925773164,"score_gpt":0.4080528883324676,"score_spread":0.3834006957551512,"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."}}