{"id":"W4396767722","doi":"10.1016/j.nbd.2024.106526","title":"Age-dependent impact of streptozotocin on metabolic endpoints and Alzheimer's disease pathologies in 3xTg-AD mice","year":2024,"lang":"en","type":"article","venue":"Neurobiology of Disease","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Recherche en Sciences Animales de Deschambault; Hôpital Saint-François d'Assise; Université Laval","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Alzheimer Society","keywords":"Insulin; Insulin receptor; Streptozotocin; Medicine; Diabetes mellitus; Pathogenesis; Internal medicine; Endocrinology; Alzheimer's disease; Amyloid (mycology); Disease; Genetically modified mouse; Neuroscience; Transgene; Pathology; Biology; Insulin resistance","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":[0.0003040501,0.0008796323,0.0004889892,0.001095141,0.0003036727,0.0004578616,0.0002979246,0.0007187551,0.001680885],"category_scores_gemma":[0.0001407726,0.0002750889,0.0006043473,0.0004927409,0.000387718,0.0006093464,0.0002947634,0.001613246,0.0004339452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000415804,"about_ca_system_score_gemma":0.0003079837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001264385,"about_ca_topic_score_gemma":0.0019999,"domain_scores_codex":[0.999731,0.00002402816,0.00004188604,0.00008319245,0.00005843236,0.00006148939],"domain_scores_gemma":[0.9996104,0.000019221,0.0001710367,0.00003227284,0.00003914899,0.0001279111],"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":[0.001527999,0.000408944,0.00107467,0.0000614916,0.00002134583,0.0001839554,0.00008495144,0.00007508587,0.9941346,0.0001442059,0.00008238056,0.002200415],"study_design_scores_gemma":[0.0002114514,0.006236629,0.08897962,0.00006733083,0.0002411187,0.001140971,0.0002553336,0.00144188,0.8944029,0.000577589,0.00638668,0.00005857156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926561,0.001784542,0.001736801,0.0001737602,0.00006299544,0.00007673014,0.001717664,0.0001459662,0.001645481],"genre_scores_gemma":[0.9810539,0.003345584,0.004875535,0.0002899216,0.00004706645,0.0003132834,0.003061543,0.0001159141,0.006897301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001680885,"threshold_uncertainty_score":0.005623102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0322417134086305,"score_gpt":0.3458346210242823,"score_spread":0.3135929076156518,"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."}}