{"id":"W2065054286","doi":"10.3109/10408363.2011.586171","title":"Proteolysis in illness-associated skeletal muscle atrophy: from pathways to networks","year":2011,"lang":"en","type":"review","venue":"Critical Reviews in Clinical Laboratory Sciences","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; McGill University Health Centre; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Myostatin; Wasting; Muscle atrophy; Autophagy; Proteostasis; Proteolysis; Biology; Proteasome; Skeletal muscle; Signal transduction; Atrophy; Protein degradation; Bioinformatics; Calpain; PI3K/AKT/mTOR pathway; Medicine; Cell biology; Endocrinology; Biochemistry; Genetics; Apoptosis","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004348061,0.0005090436,0.002378672,0.0001321198,0.0001418734,0.00004299134,0.001164419,0.001101817,0.0001351989],"category_scores_gemma":[0.01593804,0.0003916773,0.0006779737,0.001330612,0.001270541,0.00001685222,0.0004119863,0.000901774,0.0001417271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003558767,"about_ca_system_score_gemma":0.0006366211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004478905,"about_ca_topic_score_gemma":0.0002892939,"domain_scores_codex":[0.9926308,0.002813321,0.002137795,0.001512307,0.0001895983,0.0007162073],"domain_scores_gemma":[0.9976119,0.0009040225,0.0003316624,0.0007150868,0.0001087001,0.000328658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001895145,0.0005566289,0.0004499436,0.0009482595,0.00003376264,0.00001688759,0.00002694665,0.000005332848,0.00001394561,0.0008719339,0.0007315709,0.9963259],"study_design_scores_gemma":[0.0001921875,0.0005008423,0.001002257,0.004627201,0.0001117401,2.441464e-7,0.00002742075,0.00001264194,0.000001130605,0.0007562615,0.9921256,0.0006424831],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003395827,0.9942018,0.00009499823,0.00004427729,0.0007268956,0.001121026,0.0001278201,0.00001324472,0.0002740559],"genre_scores_gemma":[0.004889613,0.9925094,0.0005704699,0.001016073,0.0003629003,0.0004824754,0.0001310761,0.00002982481,0.000008120304],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9956834,"threshold_uncertainty_score":0.9998535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1137565267835906,"score_gpt":0.4243132426333394,"score_spread":0.3105567158497488,"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."}}