{"id":"W4386484621","doi":"10.1016/j.isci.2023.107843","title":"Promoting metabolic inefficiency for metabolic disease","year":2023,"lang":"en","type":"review","venue":"iScience","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Terry Fox Research Institute; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Inefficiency; Metabolic disease; Chemistry; Biochemical engineering; Computational biology; Biology; Engineering; Economics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001027969,0.0005385305,0.002458859,0.0005452532,0.0002680276,0.00007255069,0.0006330858,0.0001703897,0.00003846852],"category_scores_gemma":[0.001793248,0.0003767663,0.0008720084,0.002153449,0.0002404277,0.0001701815,0.0002068124,0.0003478587,0.0005760149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002722849,"about_ca_system_score_gemma":0.001483201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001091472,"about_ca_topic_score_gemma":0.000001524572,"domain_scores_codex":[0.9965904,0.0000804009,0.0007973822,0.001017639,0.0006463451,0.0008678296],"domain_scores_gemma":[0.9976813,0.000223763,0.0003979607,0.0008615883,0.0001625336,0.0006728158],"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":[0.00000425588,0.00008392375,0.000002222293,0.009530178,0.00007390589,0.00004328201,0.0002545813,2.279083e-7,0.000006205615,0.003414291,0.0003068232,0.9862801],"study_design_scores_gemma":[0.0002605651,0.00004110596,0.00008963786,0.005440404,0.004439259,0.00005195004,0.0000102691,0.00009140571,0.000008146848,0.000135079,0.9890583,0.0003738634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003971571,0.9945598,0.000261104,0.0001508971,0.0009106476,0.003315011,0.0001268845,0.0002866197,0.0003493446],"genre_scores_gemma":[0.00002446983,0.9880459,0.0008226925,0.0001500349,0.001060406,0.0008248423,0.00008531827,0.0001202859,0.008866089],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9887515,"threshold_uncertainty_score":0.9998685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040505090878741,"score_gpt":0.4021727305996985,"score_spread":0.2981222215118244,"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."}}