{"id":"W3135107923","doi":"10.1096/fj.202001706rr","title":"Impact of obesity on day‐night differences in cardiac metabolism","year":2021,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute","keywords":"Endocrinology; Internal medicine; Obesity; Lipidome; Circadian rhythm; Biology; Medicine; Lipid metabolism; Physiology","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":[0.0001433531,0.0003651043,0.0003093226,0.0002433412,0.0001929505,0.000373778,0.0001671608,0.0002156404,0.001220788],"category_scores_gemma":[0.0001070693,0.0001905059,0.0003069671,0.000129272,0.0003919756,0.0001804613,0.0002897774,0.0006914114,0.0001144343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002381082,"about_ca_system_score_gemma":0.0002022534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009088559,"about_ca_topic_score_gemma":0.002166033,"domain_scores_codex":[0.9998853,0.00001810909,0.000009728504,0.00003659596,0.00002003367,0.00003015911],"domain_scores_gemma":[0.9997838,0.00001910998,0.00006046053,0.00002918868,0.00001405117,0.00009338029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001480988,0.00006942136,0.001495156,0.0000222479,0.00001310117,0.00002952814,0.00001942388,0.00002933652,0.9957021,0.00004658974,0.00002537351,0.001066818],"study_design_scores_gemma":[0.0001431793,0.002843286,0.4129744,0.00002354134,0.000134435,0.0003712196,0.0002318233,0.001248515,0.579775,0.0002145929,0.001998981,0.00004091221],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984006,0.0004145408,0.0004152275,0.0000459288,0.0000207637,0.000008625776,0.000297438,0.00002582515,0.0003711303],"genre_scores_gemma":[0.9974158,0.0003439811,0.0006559248,0.0000865156,0.000009797664,0.00003620826,0.0004290619,0.00003051907,0.0009922212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001220788,"threshold_uncertainty_score":0.004083931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02529910334772544,"score_gpt":0.2931623888133033,"score_spread":0.2678632854655778,"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."}}