{"id":"W4401581241","doi":"10.1002/alz.14099","title":"The informatics of ADNI","year":2024,"lang":"en","type":"review","venue":"Alzheimer s & Dementia","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; Takeda Pharmaceutical Company; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Alzheimer's Disease Neuroimaging Initiative; GE Healthcare; Alzheimer's Association; Fujirebio US; Pfizer; BioClinica; Biogen; Meso Scale Diagnostics; Novartis Pharmaceuticals Corporation; Eli Lilly and Company; Bristol-Myers Squibb; Roche; Alzheimer's Drug Discovery Foundation; Merck; Foundation for the National Institutes of Health","keywords":"Data sharing; Informatics; Computer science; Data science; Standardization; Alzheimer's Disease Neuroimaging Initiative; Health informatics tools; Data discovery; Big data; Disease; Metadata; Alzheimer's disease; Medicine; Data mining; Engineering; World Wide Web","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":[0.005711521,0.0008546917,0.001120843,0.00355149,0.0004436183,0.002661634,0.001952489,0.001795601,0.01283763],"category_scores_gemma":[0.01662026,0.0004888689,0.000950336,0.003190904,0.001384143,0.00300118,0.00179517,0.003636495,0.01048671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605761,"about_ca_system_score_gemma":0.007419518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00446705,"about_ca_topic_score_gemma":0.003994977,"domain_scores_codex":[0.9978158,0.0009219379,0.0003959383,0.0002292743,0.0005445636,0.00009235294],"domain_scores_gemma":[0.9936266,0.003124833,0.0007410123,0.0004678817,0.001763302,0.0002763189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006269228,0.00002564701,0.000278843,0.00660763,0.00009551885,0.00006454881,0.0001427111,0.0002124227,0.0001569346,0.01524617,0.1639222,0.8131847],"study_design_scores_gemma":[0.00002716792,0.00002235271,0.0006372385,0.005752991,0.00007112205,0.0003506589,0.00004289387,0.00006639244,0.0001423982,0.00684282,0.9860281,0.00001592101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002695916,0.9602491,0.004770176,0.01022762,0.002389959,0.0001388191,0.001208408,0.0002922446,0.02045416],"genre_scores_gemma":[0.00422377,0.9715732,0.007927185,0.005334706,0.003001313,0.0003955929,0.002104461,0.0001331733,0.005306466],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01283763,"threshold_uncertainty_score":0.0429461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0465099783330248,"score_gpt":0.323153864727011,"score_spread":0.2766438863939862,"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."}}