{"id":"W2611118767","doi":"10.1016/j.biopsych.2017.04.011","title":"β-Amyloid Precursor Protein Intracellular Domain Controls Mitochondrial Function by Modulating Phosphatase and Tensin Homolog–Induced Kinase 1 Transcription in Cells and in Alzheimer Mice Models","year":2017,"lang":"en","type":"article","venue":"Biological Psychiatry","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Ligue Contre le Cancer; Conseil Départemental des Alpes Maritimes; Agence Nationale de la Recherche; Development of Innovative Strategies for a Transdisciplinary approach to ALZheimer's disease","keywords":"Tensin; Phosphatase; Cell biology; Intracellular; Transcription (linguistics); Function (biology); Kinase; Chemistry; Amyloid precursor protein; Biology; PTEN; Alzheimer's disease; Phosphorylation; Signal transduction; Medicine; Internal medicine; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002482405,0.0002698594,0.0004292302,0.00009051085,0.0001867965,0.00006528452,0.00009093149,0.0003228961,0.00002439275],"category_scores_gemma":[0.00005551518,0.0002011681,0.00006518912,0.00006207028,0.0002148821,0.0002226551,0.00004126323,0.0003736074,0.00000808398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003665158,"about_ca_system_score_gemma":0.00007526948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000297877,"about_ca_topic_score_gemma":0.00007708913,"domain_scores_codex":[0.9981914,0.0001976097,0.000361721,0.0006256159,0.0001780481,0.0004455992],"domain_scores_gemma":[0.9991887,0.00004008225,0.0001361206,0.0003006313,0.00003617055,0.0002983345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0201928,0.003229689,0.06134629,0.000112745,0.001459068,0.0002621732,0.0001245585,0.00001345307,0.9017511,0.0005769115,0.000436505,0.01049472],"study_design_scores_gemma":[0.1657584,0.0190434,0.597229,0.002312767,0.002361233,0.0001922722,0.001586569,0.01876303,0.1180949,0.07024962,0.0008334725,0.003575358],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656337,0.03068173,0.0001479697,0.001012797,0.0002084903,0.002093403,0.0001383888,0.00002931,0.00005416041],"genre_scores_gemma":[0.9972925,0.000189645,0.001904322,0.0001229584,0.0001360095,0.0001772346,0.0001535711,0.000017418,0.000006359096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7836562,"threshold_uncertainty_score":0.8203396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03967536572211895,"score_gpt":0.2855193010398797,"score_spread":0.2458439353177607,"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."}}