{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002441076,0.0001440685,0.0003516755,0.0001430405,0.00004461266,0.000003799429,0.00002307158,0.00007639828,0.00001932467],"category_scores_gemma":[0.00009417291,0.0001183938,0.00003556859,0.0001974765,0.0002770987,0.000118313,0.00002173926,0.0001110295,0.000001051167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002255885,"about_ca_system_score_gemma":0.00004574702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008153945,"about_ca_topic_score_gemma":0.00002136634,"domain_scores_codex":[0.9989242,0.0001118809,0.0002949511,0.0003381265,0.000163795,0.0001670751],"domain_scores_gemma":[0.9992709,0.00013805,0.0001354633,0.0001577944,0.0001527754,0.0001450261],"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":[0.0008746717,0.0002092712,0.01147087,0.0007064719,0.0001942601,0.000003234514,0.0002870727,5.550804e-7,0.9810542,0.00001223943,0.00004197692,0.005145145],"study_design_scores_gemma":[0.004398117,0.001564976,0.1860447,0.0003913218,0.0002383345,0.0000107027,0.0001201307,0.0004824879,0.8064747,0.0001781076,0.00001289237,0.00008353919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917011,0.005415898,0.0007081979,0.0005204472,0.00001191842,0.001506469,0.00009677595,0.00001084364,0.00002839136],"genre_scores_gemma":[0.9982309,0.001322023,0.00005866523,0.00001383489,0.00001408494,0.00006260673,0.0002558871,0.00001286349,0.00002913458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1745796,"threshold_uncertainty_score":0.4827959,"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."}}