{"id":"W4390398591","doi":"10.3233/adr-230054","title":"Comparing Symmetric Dimethylarginine and Amyloid-β42 as Predictors of Alzheimer’s Disease Development","year":2023,"lang":"en","type":"article","venue":"Journal of Alzheimer s Disease Reports","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; 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; National Institute on Aging; Alzheimer's Association","keywords":"Asymmetric dimethylarginine; Disease; Amyloid (mycology); Medicine; Psychology; Neuroscience; Internal medicine; Pathology; Biology; Biochemistry; Arginine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001005188,0.0004840324,0.001155204,0.001475863,0.0001977133,0.00006508028,0.0001555462,0.00009659759,0.0001245836],"category_scores_gemma":[0.0006678145,0.0003888009,0.0005397062,0.001306941,0.0002688954,0.0003973474,0.0002611309,0.0003858462,0.00004645172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009012821,"about_ca_system_score_gemma":0.002464187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002852788,"about_ca_topic_score_gemma":7.259813e-7,"domain_scores_codex":[0.994577,0.0001466198,0.001839965,0.0005584286,0.002153742,0.0007242452],"domain_scores_gemma":[0.9934155,0.0001482831,0.001279475,0.0006615817,0.000732332,0.003762777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001735637,0.001539766,0.9232658,0.000228717,0.03323849,0.03298511,0.0001584398,0.00005930377,0.00008594763,0.00004544537,0.002265123,0.004392204],"study_design_scores_gemma":[0.002312946,0.0004036318,0.9778995,0.000665805,0.01376462,0.0006894047,0.00009197583,0.0001710416,0.001894504,0.0002678346,0.001500982,0.0003377879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8897332,0.108032,0.000006860861,0.0004977586,0.0003860772,0.0007434034,0.0000252561,0.00008682888,0.00048862],"genre_scores_gemma":[0.9970153,0.002011106,0.000297504,0.0000773781,0.0003096933,0.00003919499,0.0001258301,0.00008529329,0.00003868449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1072821,"threshold_uncertainty_score":0.9998564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05007461853536146,"score_gpt":0.3276025521438991,"score_spread":0.2775279336085377,"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."}}