{"id":"W2902121131","doi":"10.1016/j.cmet.2018.11.002","title":"New Advances in Adaptive Thermogenesis: UCP1 and Beyond","year":2018,"lang":"en","type":"review","venue":"Cell Metabolism","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":812,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Thermogenesis; Thermogenin; Computational biology; Neuroscience; Biology; Cell biology; Biochemistry; Adipose tissue","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":[0.0009282624,0.00104044,0.001587403,0.001904489,0.0003293187,0.001653593,0.0009461025,0.001645626,0.005241151],"category_scores_gemma":[0.001415352,0.0002569851,0.0005593013,0.001981144,0.000944117,0.002386401,0.001433269,0.003238764,0.001859912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006273013,"about_ca_system_score_gemma":0.001549085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006488019,"about_ca_topic_score_gemma":0.001235946,"domain_scores_codex":[0.9997446,0.00004355439,0.00003695891,0.00005464472,0.00008523381,0.00003506138],"domain_scores_gemma":[0.99937,0.0003380815,0.000059359,0.00001971178,0.0001341787,0.00007870956],"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":[0.0001426465,0.00006738381,0.0002192724,0.01452142,0.00009758569,0.0002443751,0.00007823021,0.0003917615,0.00218017,0.009493715,0.06033571,0.9122276],"study_design_scores_gemma":[0.00001938375,0.00006433576,0.0005113672,0.002392929,0.00007752761,0.0007350542,0.00006927409,0.0001169049,0.0003212781,0.004817219,0.9908534,0.00002149781],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006342741,0.9977307,0.0001917533,0.0006870963,0.0006618936,0.000001928529,0.00001574396,0.000008407812,0.0006390882],"genre_scores_gemma":[0.0005803953,0.9969531,0.0002203703,0.0005891148,0.001101204,0.000004144628,0.00003164875,0.000002653812,0.0005173073],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005241151,"threshold_uncertainty_score":0.01753342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03283562067353221,"score_gpt":0.3163016272205025,"score_spread":0.2834660065469703,"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."}}