{"id":"W2885192168","doi":"10.3389/fendo.2018.00447","title":"Brown Adipose Tissue Energy Metabolism in Humans","year":2018,"lang":"en","type":"review","venue":"Frontiers in Endocrinology","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":314,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; Université Laval; University of Ottawa; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Université de Sherbrooke; Canadian Diabetes Association","keywords":"Adipose tissue; Energy metabolism; Brown adipose tissue; Metabolism; Biology; Bioinformatics; Medicine; 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":[0.0002027031,0.0008475291,0.005163401,0.002252874,0.00005300673,0.00001504242,0.0006035872,0.0009061692,0.0003581177],"category_scores_gemma":[0.0001667549,0.0007536163,0.0004547419,0.0008907044,0.0004464281,0.0001057936,0.0002416155,0.001171225,0.0002396423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002787015,"about_ca_system_score_gemma":0.000487688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004675762,"about_ca_topic_score_gemma":0.0002599212,"domain_scores_codex":[0.995299,0.0004661939,0.001375123,0.001152821,0.0002746866,0.001432158],"domain_scores_gemma":[0.99809,0.00007542685,0.0003705094,0.001146408,0.00006988706,0.0002478177],"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":[0.00004139077,0.0001909097,0.0001138808,0.002186633,0.0003806189,0.001839423,0.0001537212,1.19695e-7,0.000001445707,0.002994919,0.04175262,0.9503443],"study_design_scores_gemma":[0.001522384,0.0001392659,0.000175856,0.002679923,0.001645282,0.0005734547,0.00003398868,0.000001391857,0.00002189411,0.0006469723,0.9919893,0.0005702475],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002017798,0.9851425,0.0004012955,0.00009124812,0.00538499,0.0008772785,0.00003453335,0.000100708,0.007947284],"genre_scores_gemma":[0.00002319382,0.97878,0.004243524,0.0003308447,0.001639961,0.0003691497,0.0002683779,0.0001666297,0.01417827],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9502367,"threshold_uncertainty_score":0.9994915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03210380537016727,"score_gpt":0.3231311148648545,"score_spread":0.2910273094946872,"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."}}