{"id":"W4392113542","doi":"10.1002/dad2.12540","title":"ADCOMS sensitivity versus baseline diagnosis and progression phenotypes","year":2024,"lang":"en","type":"article","venue":"Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring","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; Servier; Eisai; Department of Health and Social Care; National Institute for Health and Care Research; Northern California Institute for Research and Education; F. Hoffmann-La Roche; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Pfizer; National Institute on Aging; Alzheimer's Association","keywords":"Baseline (sea); Dementia; Internal medicine; Medicine; Disease; Biology","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":[0.02194851,0.0005913912,0.001070981,0.002246504,0.0003752257,0.001646793,0.0005961873,0.0007567923,0.001784172],"category_scores_gemma":[0.06209673,0.0002724989,0.001433701,0.001103752,0.0006936888,0.0009546339,0.001766606,0.0009143574,0.0003872965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004451446,"about_ca_system_score_gemma":0.0004536449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001240681,"about_ca_topic_score_gemma":0.001373082,"domain_scores_codex":[0.9862818,0.007973286,0.001224937,0.002490431,0.001645016,0.000384642],"domain_scores_gemma":[0.9337947,0.04762101,0.009456718,0.004799543,0.003382854,0.0009451628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002766402,0.00008556296,0.9717996,0.0002368113,0.001379935,0.00005547326,0.000339648,0.002346989,0.0007628774,0.0003223033,0.0003565663,0.01954773],"study_design_scores_gemma":[0.00007101271,0.001245133,0.9838083,0.0001188577,0.0007748359,0.0006714273,0.0001928703,0.007961213,0.002070792,0.001541416,0.001500504,0.00004362542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828667,0.002782741,0.006969647,0.0001864107,0.00008419154,0.0001806762,0.001909061,0.0001004695,0.004920105],"genre_scores_gemma":[0.9974661,0.0001079346,0.001520737,0.00004641258,0.0000219747,0.00004802688,0.0006289796,0.00001105535,0.0001487058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02194851,"threshold_uncertainty_score":0.1160762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04508473210844797,"score_gpt":0.3921179712489501,"score_spread":0.3470332391405021,"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."}}