{"id":"W3194507827","doi":"10.1038/s41467-021-25384-y","title":"The pesticide chlorpyrifos promotes obesity by inhibiting diet-induced thermogenesis in brown adipose tissue","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University Medical Centre; Health Canada; McMaster University","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; Office of Nuclear Energy; National Institutes of Health; Government of Canada; National Institute of Diabetes and Digestive and Kidney Diseases; U.S. Department of Energy","keywords":"Thermogenesis; Brown adipose tissue; Endocrinology; Organophosphate; Internal medicine; Biology; Chlorpyrifos; Adipose tissue; Obesity; Pesticide; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001036013,0.0002810709,0.000158874,0.0003320682,0.0001557331,0.0002289806,0.0001186579,0.0001904273,0.001337026],"category_scores_gemma":[0.0001162676,0.0001154573,0.0002304017,0.0002015342,0.0002219126,0.0001253185,0.0001314732,0.0003220243,0.0001470604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002489976,"about_ca_system_score_gemma":0.0002208766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281821,"about_ca_topic_score_gemma":0.002612658,"domain_scores_codex":[0.9999164,0.00001782917,0.000005195227,0.00001527694,0.00002745433,0.00001779672],"domain_scores_gemma":[0.9999052,0.0000150384,0.00004585108,0.000007233664,0.00001171358,0.00001492675],"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":[0.000294619,0.00005162887,0.0009719974,0.00006818437,0.00001133136,0.00004795247,0.00001057768,0.0001441578,0.9958259,0.0000558328,0.00005974917,0.002458206],"study_design_scores_gemma":[0.00003698884,0.001111929,0.02823648,0.00001904592,0.0000475014,0.0002747471,0.00005046088,0.0005815225,0.9673631,0.00008375342,0.002189242,0.000005210637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942537,0.002332242,0.001459101,0.0002438091,0.00001854732,0.00001798414,0.0002335218,0.00007602094,0.00136501],"genre_scores_gemma":[0.9950523,0.00230972,0.001062042,0.0000736511,0.00001094281,0.00001709052,0.0001532914,0.00000751267,0.001313439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001337026,"threshold_uncertainty_score":0.004472792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430279463702067,"score_gpt":0.3113907559873138,"score_spread":0.2870879613502931,"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."}}