{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02984059,0.0009627366,0.002144115,0.002257483,0.002084295,0.005133751,0.002590913,0.01116606,0.003462568],"category_scores_gemma":[0.01664495,0.0006874668,0.001849576,0.001851389,0.003482204,0.005069324,0.003655745,0.01517443,0.001836008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004410182,"about_ca_system_score_gemma":0.01800994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008226541,"about_ca_topic_score_gemma":0.02123229,"domain_scores_codex":[0.9911231,0.002275762,0.001569053,0.0007387176,0.003553042,0.000740418],"domain_scores_gemma":[0.9751621,0.01152553,0.001995054,0.0007033685,0.008336422,0.002277508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004419863,0.0002679619,0.001157054,0.003869569,0.0001371057,0.0002862564,0.0004956072,0.0003649135,0.002281806,0.025145,0.5935595,0.3719933],"study_design_scores_gemma":[0.0002019968,0.0002156847,0.001774781,0.007585357,0.0001671257,0.0002984089,0.0004974779,0.0002254511,0.0006292171,0.01948455,0.9688531,0.00006683443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0008924408,0.3680765,0.001408633,0.6067152,0.01634067,0.000131877,0.0003481237,0.00005188099,0.006034588],"genre_scores_gemma":[0.02121172,0.5619485,0.01290593,0.3610942,0.02453044,0.0007432913,0.0008370959,0.0001336088,0.01659513],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02984059,"threshold_uncertainty_score":0.157814,"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."}}