{"id":"W1951412576","doi":"10.1186/s12976-015-0015-0","title":"Modeling the energetic cost of cancer as a result of altered energy metabolism: implications for cachexia","year":2015,"lang":"en","type":"article","venue":"Theoretical Biology and Medical Modelling","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Cancer Foundation; Allard Foundation; Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Cachexia; Energy metabolism; Cancer cachexia; Cancer; Bioinformatics; Biology; Computational biology; Genetics; Endocrinology","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":[0.0008683558,0.00009288645,0.000371347,0.00005298906,0.00006548895,0.000001836097,0.0001006277,0.0001968738,0.00004405614],"category_scores_gemma":[0.0004920132,0.00005667015,0.00006226742,0.00008742451,0.000874621,0.0000119977,0.00003702742,0.0001773369,3.603685e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001348896,"about_ca_system_score_gemma":0.0002660526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000231173,"about_ca_topic_score_gemma":0.000007346338,"domain_scores_codex":[0.9989104,0.0001011252,0.0004467749,0.0001866466,0.0001242336,0.0002307856],"domain_scores_gemma":[0.9987535,0.0003938774,0.0000681074,0.0001701053,0.0002606836,0.0003537212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006618782,0.00006932529,0.00009860585,0.00006879769,0.00003980309,2.36058e-7,0.0002054129,0.001626823,0.0008733905,0.9907584,0.00003949539,0.005557841],"study_design_scores_gemma":[0.001380472,0.0001226369,0.00001030682,0.0001315263,0.0001217856,0.00001328603,0.00008550599,0.575263,0.00165656,0.4200419,0.001120854,0.00005222167],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1489067,0.007412978,0.8115908,0.03058757,0.0001794959,0.000363958,0.00005036029,0.00002286544,0.0008853085],"genre_scores_gemma":[0.9919381,0.002731858,0.002863079,0.002076654,0.0002259422,0.0001090253,0.00003075422,0.000009874108,0.00001471835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8430314,"threshold_uncertainty_score":0.3222578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09045166261470809,"score_gpt":0.4118924386380488,"score_spread":0.3214407760233406,"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."}}