{"id":"W4407931128","doi":"10.1093/braincomms/fcaf094","title":"Plasma biomarkers for diagnosis and differentiation and their cognitive correlations in patients with Alzheimer’s disease","year":2025,"lang":"en","type":"article","venue":"Brain Communications","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Dementia; Internal medicine; Frontotemporal lobar degeneration; Vascular dementia; Frontotemporal dementia; Alzheimer's disease; Medicine; Disease; Gastroenterology; Neuropsychology; Neurology; Biomarker; Pathology; Cognition; Psychology; Psychiatry; Chemistry; Biochemistry","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":[0.001264013,0.000580959,0.0004863004,0.001103747,0.0003213033,0.0005959938,0.0002591775,0.0004828065,0.0008673923],"category_scores_gemma":[0.002907357,0.0001888929,0.000248568,0.0007680111,0.0002138313,0.0003758225,0.0003186381,0.00043227,0.0002183353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002324383,"about_ca_system_score_gemma":0.0002740481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001738999,"about_ca_topic_score_gemma":0.001228715,"domain_scores_codex":[0.9995932,0.0001252374,0.00004978287,0.00008219135,0.0001014662,0.00004809236],"domain_scores_gemma":[0.9987282,0.0004666941,0.0003377696,0.00006339965,0.0002867262,0.0001172183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004863172,0.00005461268,0.9896157,0.00002337173,0.00006898951,0.0001368231,0.00005457759,0.0001152832,0.002327787,0.00002306814,0.0001032783,0.006990193],"study_design_scores_gemma":[0.00002021732,0.0002402253,0.9961362,0.00001171603,0.0000581936,0.0005735824,0.0001154595,0.001286555,0.001168734,0.0001116946,0.0002702528,0.000007118618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997116,0.001544854,0.0004871663,0.00006632183,0.00002053007,0.00001285827,0.0001624547,0.00001488914,0.0005749015],"genre_scores_gemma":[0.9990413,0.0001950469,0.0004728236,0.00002008613,0.00001962688,0.000009244568,0.0001206594,0.000001228409,0.0001200369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001738999,"threshold_uncertainty_score":0.00668478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03057879555554897,"score_gpt":0.3255799705909079,"score_spread":0.2950011750353589,"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."}}