{"id":"W4406353138","doi":"10.2196/65221","title":"Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study","year":2025,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging","keywords":"Preprint; Dementia; Psychology; Cognitive science; Computer science; Cognitive psychology; Medicine; World Wide Web; Pathology; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008472314,0.0001753807,0.0002950788,0.0001794195,0.0002122236,0.0001088929,0.0000759739,0.00004271788,0.00004662219],"category_scores_gemma":[0.0002623456,0.0001435396,0.00003534718,0.0002783147,0.000100052,0.0002389412,0.000198421,0.0003820802,0.00000242123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009887798,"about_ca_system_score_gemma":0.0001903187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002632712,"about_ca_topic_score_gemma":0.0005719482,"domain_scores_codex":[0.9981283,0.0002689404,0.0004429692,0.0005181072,0.0003774618,0.0002642043],"domain_scores_gemma":[0.9990402,0.0004172608,0.00008882926,0.0001677963,0.0001382723,0.0001475805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001132957,0.001233593,0.7803226,0.0002828628,0.0002354295,0.00006202764,0.005886386,6.895693e-9,0.0001921434,0.000001260591,0.0003144467,0.211356],"study_design_scores_gemma":[0.002449002,0.0002253204,0.9794512,0.0002732589,0.0002669997,0.000002323044,0.01255349,0.00009186698,0.001417362,0.000003516855,0.003125753,0.000139938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935709,0.002819767,0.0000606756,0.0007092253,0.00007186314,0.00130874,8.575838e-7,0.00005905238,0.001398967],"genre_scores_gemma":[0.9977267,0.0001446511,0.0004984619,0.0005496167,0.00004492591,0.00032528,0.00002052694,0.00001276471,0.0006770761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2112161,"threshold_uncertainty_score":0.5853373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032961979797778,"score_gpt":0.4100409537300879,"score_spread":0.3897113339321101,"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."}}