{"id":"W2059089835","doi":"10.1371/journal.pone.0007134","title":"In Vivo Turnover of Tau and APP Metabolites in the Brains of Wild-Type and Tg2576 Mice: Greater Stability of sAPP in the β-Amyloid Depositing Mice","year":2009,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier de l'Université Laval","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Aging; National Institutes of Health; Alzheimer's Association","keywords":"Genetically modified mouse; Wild type; Amyloid precursor protein; Transgene; Neprilysin; Amyloid (mycology); In vivo; Neuroprotection; Amyloid beta; Cycloheximide; Cell biology; Chemistry; Biology; Molecular biology; Internal medicine; Alzheimer's disease; Biochemistry; Mutant; Enzyme; Neuroscience; Medicine; Protein biosynthesis; Gene; Peptide","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":[0.0002618683,0.001019587,0.0004851019,0.001439788,0.0003646839,0.00064556,0.0002964654,0.0007115236,0.001794015],"category_scores_gemma":[0.0002196248,0.0003139027,0.0004769483,0.0003977959,0.0005332845,0.0006004717,0.0002623894,0.0009642535,0.000626648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000443829,"about_ca_system_score_gemma":0.0002483804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001620463,"about_ca_topic_score_gemma":0.001833697,"domain_scores_codex":[0.9997516,0.00001708145,0.00003354789,0.00008157586,0.0000509515,0.00006526661],"domain_scores_gemma":[0.9996793,0.00002972709,0.00008864178,0.00003102901,0.00003606778,0.0001351978],"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":[0.0004160424,0.00005563919,0.0002607763,0.00002232388,0.00001454474,0.00009623955,0.00004582533,0.00002611484,0.9984968,0.00004737852,0.00002111527,0.0004973626],"study_design_scores_gemma":[0.00005769464,0.001178232,0.02661798,0.00002024093,0.0001074017,0.0009299641,0.0001715501,0.0005328074,0.9688565,0.0002065626,0.001293427,0.00002769944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947437,0.001932861,0.001226801,0.00008978689,0.00003850521,0.00002764527,0.001072427,0.00007538473,0.0007928681],"genre_scores_gemma":[0.9859779,0.002222621,0.003073683,0.0001132599,0.0000327556,0.0001161529,0.001923051,0.0001150696,0.006425447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001794015,"threshold_uncertainty_score":0.006001592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04053152688517962,"score_gpt":0.2840547178294329,"score_spread":0.2435231909442532,"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."}}