{"id":"W3126552324","doi":"10.1515/tnsci-2021-0009","title":"Dysregulated gene-associated biomarkers for Alzheimer’s disease and aging","year":2021,"lang":"en","type":"article","venue":"Translational Neuroscience","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Dementia; KEGG; Disease; Gene; Alzheimer's disease; Gene expression; Biology; Pathological; Computational biology; Pathogenesis; Bioinformatics; Biomarker; Gene expression profiling; Medicine; Gene ontology; Genetics; Pathology; Immunology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000890726,0.0001061839,0.0001180119,0.00006346398,0.0002158973,0.00003960027,0.00004683349,0.00002471812,0.00002586223],"category_scores_gemma":[0.0001076213,0.00009851516,0.00007807238,0.0003187929,0.0001712652,0.0001323959,0.00001362071,0.00004842615,0.000002943789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001208808,"about_ca_system_score_gemma":0.0004231556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000409424,"about_ca_topic_score_gemma":0.000002582904,"domain_scores_codex":[0.9988018,0.00003709968,0.000130923,0.0003777749,0.0003840218,0.0002684232],"domain_scores_gemma":[0.9991798,0.00009800468,0.00002741375,0.000125557,0.0001396408,0.0004295823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003585225,0.004317422,0.7317557,0.0002835929,0.007981262,0.003379302,0.0003729075,0.0006352837,0.2196832,0.004128432,0.001323337,0.02255437],"study_design_scores_gemma":[0.002497923,0.00008876324,0.9717345,0.00004089887,0.0006742202,0.00003628172,0.000006046178,0.01835301,0.005267919,0.0009415534,0.0002217787,0.0001370589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749123,0.01210953,0.001170335,0.009991344,0.0001448482,0.0008799242,0.0004629807,0.0001052887,0.0002234623],"genre_scores_gemma":[0.9984996,0.00008959033,0.0005833899,0.0005010827,0.00002143654,0.000029098,0.0002074119,0.00001335872,0.00005500589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2399789,"threshold_uncertainty_score":0.4017332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06076034049111035,"score_gpt":0.3394480944879571,"score_spread":0.2786877539968468,"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."}}