{"id":"W3014560695","doi":"10.1101/2020.03.30.016709","title":"Mathematical Model of Muscle Wasting in Cancer Cachexia","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Myostatin; Cachexia; Wasting; Skeletal muscle; Cancer; Biology; Muscle atrophy; Myocyte; Cancer research; Sarcopenia; Endocrinology; Internal medicine; Medicine","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":[0.0004579275,0.0008717768,0.0009654983,0.0005944193,0.0005015346,0.001100823,0.001291609,0.00240998,0.004973151],"category_scores_gemma":[0.001732078,0.000502088,0.00098545,0.0004915862,0.001196308,0.0009880385,0.001260372,0.001142964,0.0005845432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440767,"about_ca_system_score_gemma":0.00131182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01477883,"about_ca_topic_score_gemma":0.006915117,"domain_scores_codex":[0.9997962,0.00005880749,0.00000906796,0.00004425674,0.00005034458,0.00004137162],"domain_scores_gemma":[0.999377,0.0002684733,0.000133583,0.00002632496,0.0001197414,0.00007498875],"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":[0.0000328987,0.00002979143,0.0005693857,0.00006334236,0.00002370541,0.000147017,0.00006163557,0.905125,0.00188219,0.0890695,0.001802003,0.001193422],"study_design_scores_gemma":[0.0000169306,0.00001235198,0.0001569139,0.000008151964,0.000008152732,0.00002603657,0.00001845029,0.9889023,0.00009353161,0.009580236,0.001168637,0.000008373814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1739062,0.002582548,0.6958035,0.007899738,0.0005322675,0.0001861881,0.002588135,0.000469689,0.1160317],"genre_scores_gemma":[0.8584227,0.001562949,0.04060564,0.001128619,0.0002240535,0.0008809339,0.001233198,0.0002439095,0.09569805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01477883,"threshold_uncertainty_score":0.02938563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02573912089396073,"score_gpt":0.2512798076105537,"score_spread":0.225540686716593,"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."}}