{"id":"W3164389622","doi":"10.21203/rs.3.rs-518284/v1","title":"Nicotinamide as potential biomarker for Alzheimer’s disease: a translational study based on metabolomics","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Sirtuins and Resveratrol in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; International Society for Neurochemistry; Rheinische Friedrich-Wilhelms-Universität Bonn; McGill University; Consejo Nacional de Investigaciones Científicas y Técnicas; Universität zu Köln; Consortium canadien en neurodégénérescence associée au vieillissement","keywords":"Biomarker; Metabolomics; Nicotinamide; Disease; Medicine; Computational biology; Bioinformatics; Internal medicine; Biology; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004981685,0.0005121912,0.0004261291,0.0004561559,0.0001437191,0.0004172579,0.0002167946,0.0004168084,0.0005458005],"category_scores_gemma":[0.000164406,0.0001103016,0.0002650518,0.0003983845,0.0002383023,0.0003796921,0.0002364801,0.0003421466,0.0001009069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002546226,"about_ca_system_score_gemma":0.0002779671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006508128,"about_ca_topic_score_gemma":0.0008739217,"domain_scores_codex":[0.9999173,0.00002377282,0.000005144798,0.00002771648,0.000016027,0.000010081],"domain_scores_gemma":[0.9998853,0.00001471585,0.0000344305,0.00001281392,0.00003025486,0.00002246379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001225465,0.0002065196,0.01009739,0.0004301532,0.0001643774,0.0001624425,0.00005609136,0.0001997932,0.9540536,0.0003013595,0.0001422181,0.03296059],"study_design_scores_gemma":[0.000171308,0.008858069,0.1689708,0.0001662036,0.0009412806,0.002143583,0.0003251236,0.007497719,0.7973107,0.001988245,0.01155301,0.00007396398],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9188125,0.06565009,0.01204493,0.0008406689,0.0001144469,0.0001095494,0.0006403216,0.0001269218,0.001660615],"genre_scores_gemma":[0.9642825,0.02214938,0.01122815,0.0003117322,0.0001063405,0.00006841673,0.0005066927,0.00001239795,0.001334314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006508128,"threshold_uncertainty_score":0.002634645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123227442886133,"score_gpt":0.4505125722961985,"score_spread":0.3381898280075851,"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."}}