{"id":"W4226190186","doi":"10.14283/jpad.2022.29","title":"Therapeutic Targets for Alzheimer's Disease: Amyloid Vs. Non-Amyloid. Where Does Consensus Lie Today? An CTAD Task Force Report","year":2022,"lang":"en","type":"article","venue":"The Journal of Prevention of Alzheimer s Disease","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Genentech; National Institutes of Health; H. Lundbeck A/S; Eisai; GHR Foundation; Avid Radiopharmaceuticals; F. Hoffmann-La Roche; Cerveau Technologies; Regeneron Pharmaceuticals; University of Southern California; Biogen; AstraZeneca; Eli Lilly and Company; Amgen; Pfizer; Sanofi; National Institute on Aging; TauRx Pharmaceuticals; Alzheimer's Association; University of California, San Francisco; Foundation for the National Institutes of Health","keywords":"Disease; Neuroinflammation; Amyloid (mycology); Biomarker; Neuroscience; Medicine; Selection (genetic algorithm); Bioinformatics; Biology; Pathology; Computer science; Genetics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00176754,0.0004710249,0.0008292668,0.000322406,0.0007025327,0.00004826043,0.0005716532,0.00006881727,0.001258321],"category_scores_gemma":[0.0001479278,0.0003099027,0.001123075,0.0003373754,0.0003809742,0.0003375584,0.0002088747,0.0004949824,0.00001203151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001146986,"about_ca_system_score_gemma":0.001986656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003238139,"about_ca_topic_score_gemma":0.00000673639,"domain_scores_codex":[0.9949546,0.000760685,0.001401499,0.0004675529,0.001739011,0.0006766448],"domain_scores_gemma":[0.994584,0.0002658932,0.001506697,0.001095106,0.0008454256,0.001702827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"observational","study_design_scores_codex":[0.2885975,0.05451193,0.1107234,0.002020525,0.3469126,0.01742886,0.003907163,0.003322901,0.008205269,0.001855502,0.06695461,0.09555978],"study_design_scores_gemma":[0.04116667,0.01565163,0.6420351,0.00154903,0.2111937,0.002492766,0.005124972,0.00369437,0.007630726,0.04957663,0.01740621,0.002478188],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6189696,0.3608686,0.0006824199,0.009845819,0.001196983,0.0062903,0.001776981,0.0001090697,0.0002603056],"genre_scores_gemma":[0.9971151,0.0007892959,0.0004203941,0.0003508949,0.0003908522,0.0002111336,0.0003027914,0.0001065921,0.0003129586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5313117,"threshold_uncertainty_score":0.9999353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03079151228701862,"score_gpt":0.3348156376385036,"score_spread":0.304024125351485,"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."}}