{"id":"W4404788204","doi":"10.1101/2024.11.25.24317943","title":"Comprehensive evaluation of AT(N) imaging biomarkers for predicting cognition","year":2024,"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":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Pfizer; Novartis Pharmaceuticals Corporation; Eisai; U.S. Department of Defense; Meso Scale Diagnostics; Servier; BioClinica; BrightFocus Foundation; Bristol-Myers Squibb; Eli Lilly and Company; Biogen","keywords":"Cognition; Psychology; Computer science; Neuroscience","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":[0.01160183,0.001227116,0.0007031011,0.001499445,0.0003727679,0.001294385,0.0008420777,0.0007903237,0.0007584394],"category_scores_gemma":[0.01295755,0.0002586806,0.0008784743,0.0008880575,0.0003489545,0.0009109175,0.0007853979,0.0006253884,0.0003392135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005704326,"about_ca_system_score_gemma":0.0009277879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004399536,"about_ca_topic_score_gemma":0.005727476,"domain_scores_codex":[0.9981822,0.0008270186,0.0001574154,0.0004525247,0.0002878309,0.00009307442],"domain_scores_gemma":[0.9925897,0.002995909,0.001334459,0.001021961,0.001595502,0.0004623881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001323665,0.0003271107,0.9155061,0.0001106879,0.00139124,0.00006382174,0.0001461465,0.01912929,0.00252132,0.0001923726,0.001052344,0.05823598],"study_design_scores_gemma":[0.0001030165,0.002814869,0.7731515,0.0001359362,0.001311587,0.0005102039,0.0002329766,0.2122838,0.006297436,0.001153694,0.001928513,0.00007650655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829339,0.001358188,0.01291639,0.0002184643,0.00002926721,0.00007268375,0.001437348,0.0002176582,0.000816092],"genre_scores_gemma":[0.9933757,0.0001914519,0.004871918,0.0000482546,0.00001880279,0.0000368485,0.001254308,0.00001540924,0.0001871791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01160183,"threshold_uncertainty_score":0.06135708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06970752411028541,"score_gpt":0.392647962300091,"score_spread":0.3229404381898056,"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."}}