{"id":"W2411212518","doi":"10.1038/ejcn.2016.96","title":"Key determinants of energy expenditure in cancer and implications for clinical practice","year":2016,"lang":"en","type":"review","venue":"European Journal of Clinical Nutrition","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":127,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Hypermetabolism; Medicine; Resting energy expenditure; Cancer; Energy expenditure; Basal metabolic rate; Energy balance; Energy metabolism; Specific dynamic action; Intensive care medicine; Physical therapy; Endocrinology; Internal medicine; 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":[0.005162411,0.0002023528,0.002450931,0.0002747749,0.00004079362,0.00001269143,0.0001684534,0.0002326917,0.00001971466],"category_scores_gemma":[0.003643895,0.0001401561,0.0007889337,0.0001260953,0.0001482492,0.0001469069,0.00004030822,0.0007659703,0.000003472681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005225951,"about_ca_system_score_gemma":0.0004102867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001306386,"about_ca_topic_score_gemma":0.000002343726,"domain_scores_codex":[0.9926442,0.001446301,0.005233896,0.0002901436,0.000188193,0.0001972616],"domain_scores_gemma":[0.9908274,0.004113106,0.003899342,0.0002404103,0.0005751613,0.0003445922],"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":[0.0005993659,0.001021802,0.0006649336,0.008425805,0.00007406052,0.00007562182,0.000007550544,3.583267e-9,4.498613e-7,0.0001334249,0.01087383,0.9781231],"study_design_scores_gemma":[0.006184861,0.001132136,0.002543725,0.07207895,0.0006087319,0.0005811036,0.00001204773,6.324384e-7,5.090316e-7,0.0001909023,0.9165516,0.0001147426],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001116304,0.9934977,0.0004014703,0.004119016,0.0008221463,0.0005556477,0.0001084863,0.000006727479,0.0003771809],"genre_scores_gemma":[0.0001856615,0.9872191,0.007977443,0.0008591256,0.003602779,0.00002708966,0.00001881666,0.00005093258,0.00005904199],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9780084,"threshold_uncertainty_score":0.5715402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3681770799224074,"score_gpt":0.5956719096103246,"score_spread":0.2274948296879171,"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."}}