{"id":"W3129107970","doi":"10.1101/2021.01.29.21250773","title":"Targeted screening for Alzheimer’s disease clinical trials using data-driven disease progression models","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":2,"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":"Donepezil; Clinical trial; Disease; Medicine; Cognitive impairment; Cohort; Cognition; Oncology; Dementia; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0160611,0.0009025786,0.001311026,0.001317036,0.0003329374,0.001710505,0.001112333,0.001348349,0.004511178],"category_scores_gemma":[0.05321438,0.0005893004,0.001806873,0.0007446876,0.0007651913,0.0008881349,0.001001224,0.001576021,0.0004147441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140334,"about_ca_system_score_gemma":0.002697464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005165398,"about_ca_topic_score_gemma":0.00553205,"domain_scores_codex":[0.9947689,0.004255512,0.0001896985,0.0003262922,0.0003083518,0.0001512961],"domain_scores_gemma":[0.9366299,0.05754853,0.00238008,0.001789203,0.001146782,0.0005055037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002220541,0.0003350289,0.02337388,0.0005360825,0.0008917935,0.0003920366,0.0001816115,0.9243736,0.001069586,0.01909644,0.003930166,0.02359922],"study_design_scores_gemma":[0.0002415758,0.0001599111,0.00170454,0.00004204973,0.00009375368,0.00005568581,0.00002060487,0.9805487,0.0004089804,0.0155495,0.001157052,0.00001755775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4727242,0.001207203,0.5003024,0.006870467,0.0003141425,0.001939116,0.007621759,0.001860447,0.007160239],"genre_scores_gemma":[0.8758722,0.0002049384,0.1174678,0.0008060781,0.00007033649,0.001379229,0.002543617,0.00008930533,0.001566393],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0160611,"threshold_uncertainty_score":0.08494031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.530980838569531,"score_gpt":0.5479863229273529,"score_spread":0.0170054843578219,"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."}}