{"id":"W2945458022","doi":"10.1002/acn3.782","title":"Predicting long‐term clinical stability in amyloid‐positive subjects by <scp>FDG</scp>‐<scp>PET</scp>","year":2019,"lang":"en","type":"article","venue":"Annals of Clinical and Translational Neurology","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Canadian Institutes of Health Research; FP7 Health; Genentech; IXICO; National Institutes of Health; H. Lundbeck A/S; Pfizer; Novartis Pharmaceuticals Corporation; Ministero della Salute; Northern California Institute for Research and Education; University of Southern California; Meso Scale Diagnostics; Servier","keywords":"Neuropathology; Medicine; Neurodegeneration; Biomarker; Clinical trial; Internal medicine; Pet imaging; Disease; Oncology; Amyloid (mycology); Alzheimer's disease; Positron emission tomography; Pathology; Nuclear medicine; Biology","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":[0.002120289,0.0003845968,0.0003794236,0.0007001587,0.0003654578,0.0006080901,0.0002147145,0.0005438013,0.001270452],"category_scores_gemma":[0.003852069,0.0001200339,0.0002819478,0.00037078,0.0003307835,0.0004177088,0.0002582358,0.0003589044,0.0004256926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001428088,"about_ca_system_score_gemma":0.0001639264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001671195,"about_ca_topic_score_gemma":0.002762509,"domain_scores_codex":[0.9995796,0.0002005394,0.00006523346,0.00006768707,0.00004727617,0.00003970793],"domain_scores_gemma":[0.997932,0.0009848223,0.0004171068,0.0001184221,0.0003045205,0.0002431311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001381323,0.00008870537,0.9918874,0.00001097127,0.00006234426,0.00007829475,0.00004579375,0.00009423817,0.0009251998,0.00001456963,0.0001507458,0.005260456],"study_design_scores_gemma":[0.00004503083,0.0007957815,0.9967574,0.00001110102,0.00006436917,0.0003943524,0.00009778605,0.0008563669,0.0006455696,0.0001143477,0.0002110616,0.000006775505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989109,0.0003046516,0.0001905667,0.00004016795,0.000009646784,0.00001436628,0.0001235605,0.000005382224,0.0004006762],"genre_scores_gemma":[0.9995048,0.0000532399,0.0001631271,0.00002354326,0.000008879759,0.000007270035,0.0001536858,0.000001136737,0.00008420864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002120289,"threshold_uncertainty_score":0.0112133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08459939832062711,"score_gpt":0.4148415460410492,"score_spread":0.3302421477204221,"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."}}