{"id":"W2094565995","doi":"10.1002/acn3.192","title":"Biomarkers and cognitive endpoints to optimize trials in Alzheimer's disease","year":2015,"lang":"en","type":"article","venue":"Annals of Clinical and Translational Neurology","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; Servier; Eisai; Northern California Institute for Research and Education; University of California, San Diego; Pfizer; Biogen; BioClinica; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Synarc; Roche; University of Southern California; Medpace; Novartis Pharmaceuticals Corporation; Eli Lilly and Company; Bristol-Myers Squibb; F. Hoffmann-La Roche; Alzheimer's Drug Discovery Foundation; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Medicine; Disease; Alzheimer's disease; Cognition; Clinical trial; Bioinformatics; Internal medicine; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003128686,0.00008876068,0.0005563457,0.0001449711,0.00001466003,0.000005941993,0.00003005389,0.00007196652,0.00006996045],"category_scores_gemma":[0.00304283,0.00007102465,0.0001085926,0.0001085736,0.0002922239,0.00005544794,0.00002524276,0.0001457161,0.000006184331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":8.828582e-8,"about_ca_system_score_gemma":0.00013379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001190961,"about_ca_topic_score_gemma":0.000006431408,"domain_scores_codex":[0.9979126,0.0006679909,0.0007466466,0.0002746143,0.000229822,0.0001683296],"domain_scores_gemma":[0.9966055,0.002509709,0.00007968835,0.0000538445,0.0002096089,0.0005417181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02193878,0.0003768268,0.9223125,0.00001341538,0.0002345241,0.00008990434,0.00004444263,0.000002302482,0.000007016683,0.0002165976,0.0002129205,0.05455079],"study_design_scores_gemma":[0.005723618,0.001367404,0.9875044,0.000030925,0.0001634785,0.000008492465,0.00001351041,0.000226252,0.00007905372,0.004090161,0.0007344088,0.00005830691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523332,0.001038726,0.0001287802,0.04483388,0.00005473873,0.000506788,0.00005451089,0.00000565335,0.001043718],"genre_scores_gemma":[0.9934441,0.0002941845,0.0001649924,0.005966071,0.00006363688,0.00001972474,0.00002698494,0.000005949966,0.00001433054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06519192,"threshold_uncertainty_score":0.3642771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3683324295590978,"score_gpt":0.5170352717315262,"score_spread":0.1487028421724284,"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."}}