{"id":"W4378648727","doi":"10.1152/physiol.2023.38.s1.5764490","title":"Targeting adrenergic receptors to activate brown fat without cardiovascular effects","year":2023,"lang":"en","type":"article","venue":"Physiology","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Mirabegron; Bisoprolol; Brown adipose tissue; Internal medicine; Endocrinology; Thermogenesis; White adipose tissue; Medicine; Antagonist; Adipose tissue; Pharmacology; Receptor; Chemistry; Blood pressure; Overactive bladder","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":[0.0005650969,0.0004087509,0.0009777793,0.0001440682,0.0001310147,0.0003355503,0.0002587477,0.0004347088,0.002060327],"category_scores_gemma":[0.0003537803,0.0002248321,0.0002948807,0.000126455,0.0003720993,0.000264222,0.0001894011,0.001014867,0.000234849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001322117,"about_ca_system_score_gemma":0.0002172321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001232609,"about_ca_topic_score_gemma":0.0003767672,"domain_scores_codex":[0.9998005,0.00007068191,0.00001864263,0.00004252634,0.00002894264,0.0000387138],"domain_scores_gemma":[0.9998241,0.00004342174,0.0000555293,0.00002072318,0.00001167735,0.00004452833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.2483975,0.01681853,0.002296825,0.000941411,0.0004019127,0.0000916846,0.00008454667,0.000474241,0.6850888,0.0002212384,0.0003192435,0.04486413],"study_design_scores_gemma":[0.1417619,0.6409535,0.02864737,0.000129551,0.001024117,0.0004849241,0.0001034596,0.001958014,0.1784771,0.0002908608,0.00612312,0.00004593803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975134,0.001440195,0.0004812099,0.00005682163,0.00005659131,0.000168815,0.00005548218,0.00001396131,0.0002135854],"genre_scores_gemma":[0.9942397,0.001297383,0.002706962,0.0001903008,0.00009257879,0.0004993435,0.0001588964,0.00001273357,0.0008022047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002060327,"threshold_uncertainty_score":0.006892443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594887839224291,"score_gpt":0.2732362489265816,"score_spread":0.2572873705343387,"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."}}