{"id":"W4390199460","doi":"10.1002/alz.076693","title":"Blood‐based markers of neurodegeneration linked with brain atrophy and cognition in aging","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atrophy; Neurodegeneration; Neuropsychology; Psychology; Montreal Cognitive Assessment; Glial fibrillary acidic protein; Cognitive decline; Brain size; Magnetic resonance imaging; Audiology; Cognition; Neuropsychological assessment; Pathology; Medicine; Neuroscience; Internal medicine; Cognitive impairment; Dementia; Immunohistochemistry; Disease; Radiology","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":[0.0003200592,0.0003045366,0.0002511521,0.0007282738,0.0001372927,0.0002913031,0.0001205458,0.0002899156,0.0009983183],"category_scores_gemma":[0.0006846729,0.0001102,0.00011152,0.0005120319,0.0001516888,0.0002014564,0.000158605,0.0002314663,0.0001500265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001245438,"about_ca_system_score_gemma":0.00007856231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009735846,"about_ca_topic_score_gemma":0.0009734311,"domain_scores_codex":[0.9998969,0.00002423686,0.000009788653,0.00003460936,0.00002220221,0.00001233776],"domain_scores_gemma":[0.9995384,0.00008371182,0.0002206885,0.00002640583,0.00007535612,0.00005556168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000887864,0.0001203895,0.9627473,0.00004910249,0.0001695677,0.0001064613,0.00008556949,0.0001588978,0.02754471,0.00003164248,0.0001456929,0.00795284],"study_design_scores_gemma":[0.00000506419,0.0001993572,0.9967486,0.000003420764,0.00003318664,0.0001949557,0.00002575845,0.0002548125,0.00235713,0.0000642389,0.0001108862,0.00000262164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976971,0.001085349,0.0004022229,0.00002003698,0.000005738716,0.000006748537,0.0003476017,0.00001727011,0.0004179331],"genre_scores_gemma":[0.9987419,0.0001797781,0.0005095939,0.0000240999,0.00001099121,0.00001001421,0.0002078783,0.000001914652,0.0003138638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009983183,"threshold_uncertainty_score":0.003339708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04950453656558083,"score_gpt":0.3160257329354967,"score_spread":0.2665211963699158,"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."}}