{"id":"W2941564931","doi":"10.3390/cancers11040571","title":"Chronic Treatment with Multi-Kinase Inhibitors Causes Differential Toxicities on Skeletal and Cardiac Muscles","year":2019,"lang":"en","type":"article","venue":"Cancers","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Greenfield Research (Canada)","funders":"V Foundation for Cancer Research; American Cancer Society","keywords":"Skeletal muscle; Wasting; Cachexia; Medicine; Protein kinase B; Sarcopenia; PI3K/AKT/mTOR pathway; Internal medicine; Endocrinology; Muscle atrophy; Cardiac muscle; Muscle weakness; Atrophy; Myocyte; Sorafenib; Heart failure; Pharmacology; Phosphorylation; Cancer; Biology; Signal transduction; Cell biology","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":[0.00001216217,0.0001498168,0.0001376068,0.00002059513,0.00005531199,0.000009021364,0.00004067735,0.00008540782,0.00003204064],"category_scores_gemma":[0.000002507414,0.0001126747,0.00005471435,0.00002090943,0.0001332872,0.000002851604,0.00002192851,0.00004283723,0.000006278895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001179159,"about_ca_system_score_gemma":0.0001778556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001863298,"about_ca_topic_score_gemma":0.0002307486,"domain_scores_codex":[0.9994068,0.0000260791,0.00006308249,0.0002773427,0.00005134865,0.0001753908],"domain_scores_gemma":[0.9997237,0.000007305311,0.00003059571,0.0001722146,0.00001422425,0.00005198903],"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":[0.0004808409,0.00004783085,0.01152111,0.00006553889,0.0003185406,0.000003195687,0.0002317911,0.0009600365,0.9666862,0.0001147666,0.0004059372,0.01916424],"study_design_scores_gemma":[0.008218975,0.01472814,0.06842639,0.0001267334,0.0001572575,0.000003053715,0.00169161,0.0002057978,0.8571366,0.00002421438,0.04815777,0.001123431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968315,0.002397813,0.00001119719,0.00002421512,0.0002316663,0.0001945212,0.00003331312,0.00001015833,0.0002656564],"genre_scores_gemma":[0.998294,0.000735061,0.00001308053,0.00005515513,0.0002243789,0.00004406525,0.00006882269,0.00001497601,0.0005504694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1095495,"threshold_uncertainty_score":0.4594741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007220149497235041,"score_gpt":0.2300088819409918,"score_spread":0.2227887324437568,"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."}}