{"id":"W3110310010","doi":"10.1101/2020.11.28.20238964","title":"Atrophy-centered subtyping of mild cognitive impairment","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; BioClinica; F. Hoffmann-La Roche; University of Southern California; Biogen; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Subtyping; Atrophy; Neuroimaging; Alzheimer's Disease Neuroimaging Initiative; Cognition; Magnetic resonance imaging; Biomarker; Neurodegeneration; Psychology; Cognitive decline; Pittsburgh compound B; Alzheimer's disease; Cognitive impairment; Oncology; Medicine; Disease; Pathology; Neuroscience; Internal medicine; Dementia; Radiology; Biology; Computer science","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":[0.000817997,0.0007214102,0.0005300951,0.001258789,0.0002378556,0.0005481769,0.000479961,0.0004350137,0.0006216321],"category_scores_gemma":[0.002472891,0.0001181173,0.0005474999,0.0003634882,0.0002936009,0.0004196359,0.0008983163,0.0005316488,0.0002045545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005663252,"about_ca_system_score_gemma":0.0006066021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01466791,"about_ca_topic_score_gemma":0.01670495,"domain_scores_codex":[0.9996371,0.00007095156,0.00003499394,0.000129873,0.00006054992,0.00006647913],"domain_scores_gemma":[0.9994399,0.0001502702,0.0001101204,0.00009377377,0.0001267586,0.00007924607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002017678,0.0005755742,0.6199992,0.0002160226,0.0007815345,0.0007680762,0.0005028789,0.105173,0.03665834,0.001310125,0.004471895,0.2275257],"study_design_scores_gemma":[0.00005134699,0.0003809794,0.3267511,0.00006132649,0.0001584914,0.0004528546,0.0001806742,0.6557387,0.009982165,0.005213215,0.0009805663,0.00004860884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778973,0.0003354132,0.01929723,0.0001893334,0.00002604469,0.00005879109,0.001120352,0.0002032579,0.0008723431],"genre_scores_gemma":[0.9961448,0.00004111982,0.002870606,0.00003408192,0.00001234806,0.00001188695,0.0006851392,0.000006610914,0.0001933892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01466791,"threshold_uncertainty_score":0.02916509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05733681040613393,"score_gpt":0.3427932490324208,"score_spread":0.2854564386262869,"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."}}