{"id":"W2954762973","doi":"10.1016/j.tcm.2019.06.008","title":"Editorial Commentary: Obesity, body composition and atrial fibrillation","year":2019,"lang":"en","type":"review","venue":"Trends in Cardiovascular Medicine","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"American Heart Association","keywords":"Medicine; Atrial fibrillation; Internal medicine; Body mass index; Cardiology; Heart failure; Obesity paradox; Kidney disease; Proportional hazards model; Waist; Sinus rhythm; Case fatality rate; Stenosis; Epidemiology; Overweight","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":[0.007240163,0.002271319,0.004915656,0.003323475,0.001409455,0.004627923,0.003205991,0.01312918,0.01352821],"category_scores_gemma":[0.02653119,0.0009068486,0.00239986,0.002272171,0.00175595,0.003090313,0.00227986,0.01320597,0.006754372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002128493,"about_ca_system_score_gemma":0.005458053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002580532,"about_ca_topic_score_gemma":0.006186956,"domain_scores_codex":[0.9959771,0.00112167,0.0007988365,0.0005240954,0.001322692,0.000255733],"domain_scores_gemma":[0.9884253,0.005007447,0.001654795,0.0002432102,0.003799839,0.000869353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007834991,0.0000084783,0.00003610703,0.001846519,0.00008593875,0.00006225142,0.00002268822,0.0000134557,0.00003874671,0.0001953056,0.9890294,0.008582835],"study_design_scores_gemma":[0.0004563175,0.000069348,0.0006757784,0.006948903,0.0006735698,0.0003443039,0.00009749085,0.000117613,0.00008715377,0.001420016,0.9890682,0.00004136219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000684925,0.08100808,0.0001099063,0.113259,0.8041841,0.00003655108,0.0002891748,0.00004013524,0.001004574],"genre_scores_gemma":[0.001026814,0.06734843,0.0001733975,0.1796859,0.7457606,0.00009783093,0.0001616238,0.00004509543,0.005700317],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01352821,"threshold_uncertainty_score":0.04525632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03652077385910516,"score_gpt":0.3276999402540783,"score_spread":0.2911791663949731,"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."}}