{"id":"W2996778188","doi":"10.1155/2019/7404815","title":"Resumption of Autophagy by Ubisol-Q<sub>10</sub> in Presenilin-1 Mutated Fibroblasts and Transgenic AD Mice: Implications for Inhibition of Senescence and Neuroprotection","year":2019,"lang":"en","type":"article","venue":"Oxidative Medicine and Cellular Longevity","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Autophagy; Neurodegeneration; Senescence; Genetically modified mouse; Oxidative stress; Presenilin; Cell biology; Neuroprotection; Biology; Transgene; Programmed cell death; Mitochondrion; Alzheimer's disease; Apoptosis; Endocrinology; Neuroscience; Pathology; Medicine; Biochemistry; Gene; Disease","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00025497,0.000518078,0.0003521881,0.0003967633,0.0002466466,0.0003083037,0.0002852611,0.0005179936,0.0007725073],"category_scores_gemma":[0.00009630745,0.000244842,0.0004127049,0.0001717573,0.0004161322,0.0002464849,0.0001237345,0.0006629709,0.0002599484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004208317,"about_ca_system_score_gemma":0.0002491814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001079983,"about_ca_topic_score_gemma":0.001541836,"domain_scores_codex":[0.9998553,0.00002130455,0.00003029423,0.00003196256,0.00003264083,0.00002850204],"domain_scores_gemma":[0.9998466,0.00002503918,0.00006027192,0.00001382591,0.00001186856,0.00004226016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001777374,0.00004797136,0.00006734052,0.00002094539,0.000003713582,0.00006357422,0.00001214701,0.00003046208,0.9992096,0.00005209422,0.00001399364,0.0003003253],"study_design_scores_gemma":[0.00004238095,0.000518114,0.002748391,0.000006703332,0.00002035892,0.0003595914,0.00002747354,0.0004659985,0.9947647,0.00005582667,0.0009823204,0.000008128944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945346,0.00143953,0.00225269,0.0001480436,0.0000462389,0.00005016998,0.0006300361,0.00008013073,0.0008185328],"genre_scores_gemma":[0.9925106,0.001246548,0.003238924,0.00009715755,0.00001394547,0.00008719426,0.0005583587,0.00003022197,0.002217113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001079983,"threshold_uncertainty_score":0.003053427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02384941209861589,"score_gpt":0.2947636618068005,"score_spread":0.2709142497081846,"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."}}