{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003650925,0.000684916,0.0003648489,0.0006261838,0.0002992769,0.0006026481,0.0006766581,0.0004750263,0.002524342],"category_scores_gemma":[0.000845268,0.0002560968,0.0009483795,0.0002945266,0.0003243907,0.0009677094,0.0005601104,0.0005700945,0.0002886257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007913498,"about_ca_system_score_gemma":0.0006651341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005563497,"about_ca_topic_score_gemma":0.005911705,"domain_scores_codex":[0.9998565,0.00004604818,0.00000580199,0.00004059635,0.0000239686,0.00002709582],"domain_scores_gemma":[0.999744,0.000100431,0.00005203318,0.00001834012,0.00004391887,0.00004113868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002689009,0.00007864038,0.006613209,0.00009657299,0.0001383906,0.0002480974,0.0000793807,0.9450915,0.009696845,0.02224644,0.001206571,0.01423543],"study_design_scores_gemma":[0.00001102376,0.00002640018,0.0008431545,0.000004673483,0.0000212251,0.00003267844,0.000008540327,0.9910749,0.0004473058,0.006991704,0.0005330756,0.000005296962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3477706,0.0005827291,0.6388208,0.0008663904,0.00008668767,0.00008983197,0.001656321,0.001047717,0.0090789],"genre_scores_gemma":[0.9377839,0.000458829,0.05600235,0.00007687075,0.00002541433,0.0001869361,0.0009886676,0.0000592374,0.004417867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005563497,"threshold_uncertainty_score":0.0110622,"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."}}