{"id":"W4405416445","doi":"10.69598/sehs.18.24050018","title":"Forward selection models for classifying mild cognitive impairment and Alzheimer’s disease based on single nucleotide polymorphisms","year":2024,"lang":"en","type":"article","venue":"Science, Engineering and Health Studies","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Johnson and Johnson Pharmaceutical Research and Development; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Janssen Alzheimer Immunotherapy Research And Development; 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; Alzheimer's Association","keywords":"Single-nucleotide polymorphism; Selection (genetic algorithm); Cognitive impairment; Disease; Cognition; Alzheimer's disease; Medicine; Genetics; Computational biology; Neuroscience; Biology; Computer science; Artificial intelligence; Internal medicine; Gene; Genotype","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":[0.00120352,0.0002143154,0.0002124971,0.0001958154,0.0007942296,0.0000835062,0.00006605279,0.00002680953,0.000006318293],"category_scores_gemma":[0.00006309783,0.0001925472,0.00003646988,0.000398321,0.0003888893,0.0003621006,0.000100467,0.000149288,0.000007126403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000485227,"about_ca_system_score_gemma":0.00008605326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005203068,"about_ca_topic_score_gemma":0.00001550975,"domain_scores_codex":[0.9979977,0.0000224439,0.0002321397,0.0007570217,0.0003582169,0.0006324624],"domain_scores_gemma":[0.999214,0.0002274947,0.00004689332,0.00009294858,0.00001393243,0.0004047667],"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":[0.0006007926,0.00119495,0.05328307,0.004702291,0.0005144874,0.00006087306,0.02690545,0.4967722,0.007084983,0.005281525,0.004603394,0.398996],"study_design_scores_gemma":[0.0004637357,0.0006073668,0.06200173,0.0007426625,0.00006139697,0.000002742128,0.000552634,0.9331135,0.0003771334,0.0004584984,0.001299334,0.000319313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8854619,0.02386758,0.0689754,0.01486084,0.001313384,0.004074553,0.0001390897,0.0006539784,0.0006533327],"genre_scores_gemma":[0.995607,0.0007499023,0.002227199,0.001127968,0.00006955488,0.0001639304,0.000002762615,0.00002498917,0.00002668295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4363413,"threshold_uncertainty_score":0.7851846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06160764249012888,"score_gpt":0.3181576278414663,"score_spread":0.2565499853513374,"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."}}