{"id":"W4404643051","doi":"10.1002/dad2.70026","title":"A data‐driven, multi‐domain brain gray matter signature as a powerful biomarker associated with several clinical outcomes","year":2024,"lang":"en","type":"article","venue":"Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association","keywords":"Dementia; Neuroimaging; Cognition; European union; Medicine; Episodic memory; Disease; Neuroscience; Psychology; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002978204,0.00042345,0.000412236,0.001124452,0.000252735,0.0008576449,0.0003885321,0.0003832476,0.0007871246],"category_scores_gemma":[0.007288152,0.0001475842,0.0005807968,0.000812045,0.0005706885,0.0004428226,0.0006482324,0.0004890066,0.0001997128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005716714,"about_ca_system_score_gemma":0.0009296953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001361606,"about_ca_topic_score_gemma":0.002306947,"domain_scores_codex":[0.9993217,0.0002227442,0.00005682706,0.0001601024,0.0001868036,0.00005190328],"domain_scores_gemma":[0.9959273,0.001361196,0.001242394,0.0006946061,0.0005400816,0.0002343414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001312659,0.000190212,0.8690711,0.0002128468,0.0008750987,0.0003316685,0.00022229,0.01244909,0.03569313,0.001756486,0.001862596,0.07602278],"study_design_scores_gemma":[0.00005396022,0.0007016492,0.9022257,0.0000664766,0.0003958764,0.001939894,0.0001240758,0.05397828,0.03008831,0.007501419,0.002843916,0.00008031366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598585,0.0005119759,0.03461399,0.0003842963,0.00001937096,0.00007930715,0.003038788,0.000281635,0.001212245],"genre_scores_gemma":[0.9877867,0.0000635114,0.01059779,0.00007496116,0.00001326048,0.0000393422,0.001201081,0.00002415106,0.0001992214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002978204,"threshold_uncertainty_score":0.01575047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06719453140294432,"score_gpt":0.4267695868291278,"score_spread":0.3595750554261835,"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."}}