{"id":"W4388852098","doi":"10.15252/msb.202311801","title":"A multi‐layered network model identifies Akt1 as a common modulator of neurodegeneration","year":2023,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Canadian Institutes of Health Research; Ministry of Science and ICT, South Korea; National Research Foundation of Korea; Korea University; National Research Foundation; Government of Canada","keywords":"Biology; Neurodegeneration; Disease; Neuroscience; Spinocerebellar ataxia; AKT1; Cellular model; Bioinformatics; Ataxia; Computational biology; Signal transduction; PI3K/AKT/mTOR pathway; Genetics; Medicine; Internal medicine","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":[0.0002403722,0.0001959686,0.0002861373,0.0000872899,0.0000594881,0.00001883139,0.0002135763,0.00024797,0.000001372734],"category_scores_gemma":[0.00006010157,0.0001996358,0.0001248377,0.0002134362,0.00005395125,0.000002514695,0.000152755,0.00007532321,0.0000203315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008213826,"about_ca_system_score_gemma":0.0000423714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008709919,"about_ca_topic_score_gemma":0.00003050535,"domain_scores_codex":[0.9986407,0.0001296048,0.0003826178,0.00040822,0.00009756489,0.0003413227],"domain_scores_gemma":[0.9992331,0.000009495636,0.0001088787,0.0004911634,0.00008663975,0.00007076077],"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":[0.00001392,0.00001133013,0.0005245371,0.00003129466,0.00004400723,0.000004450834,0.0000189666,0.3748497,0.6237106,0.0003357623,0.0003626484,0.00009272149],"study_design_scores_gemma":[0.0004880454,0.000202081,0.0004605711,0.00002454982,0.00002439726,0.00002528888,0.00003548309,0.4956637,0.5016307,0.000158166,0.001021204,0.0002658108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8103114,0.001859977,0.1868443,0.00004032522,0.0005117363,0.000279299,0.00002529323,0.00004975443,0.00007786207],"genre_scores_gemma":[0.9981383,0.0001038901,0.0006845488,0.00006715688,0.0001542763,0.00007328349,0.0003144544,0.00004145471,0.0004226131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1878269,"threshold_uncertainty_score":0.814091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137868805148341,"score_gpt":0.3242981701675886,"score_spread":0.3105112896527545,"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."}}