{"id":"W101377834","doi":"10.1016/j.jacc.2014.09.051","title":"Net Clinical Benefit of Antithrombotic Therapy in Patients With Atrial Fibrillation and Chronic Kidney Disease","year":2014,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":281,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Lundbeckfonden; Health Research Foundation; Region Hovedstaden; Bristol-Myers Squibb","keywords":"Medicine; Antithrombotic; Atrial fibrillation; Kidney disease; Internal medicine; Cardiology; Disease; Intensive care medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004603879,0.0000818199,0.000843986,0.0001167115,0.00001810133,0.000001658375,0.00007600936,0.00002838313,0.000004711294],"category_scores_gemma":[0.0004193888,0.00004692016,0.0002993116,0.0002147764,0.0003106612,0.00004365151,0.00003523534,0.00008718502,2.069035e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002994662,"about_ca_system_score_gemma":0.0001476215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000408388,"about_ca_topic_score_gemma":0.000001297867,"domain_scores_codex":[0.9987976,0.000231856,0.0005726661,0.00008934967,0.000214446,0.00009410006],"domain_scores_gemma":[0.9983996,0.0002501147,0.0009305318,0.0001731953,0.0001567978,0.00008977627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004398376,0.00000303943,0.9893239,0.00001849225,0.0002569741,0.000002164918,0.000004884286,0.002165111,0.00002556798,0.0001245592,0.0001957432,0.003481159],"study_design_scores_gemma":[0.005992003,0.003070056,0.9866799,0.00006757108,0.0002070811,0.000006211665,0.00001210266,0.0001799111,0.000007436713,0.0001153792,0.003616467,0.00004587987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972458,0.0001640492,0.00008572463,0.001922587,0.0002587108,0.0002540671,0.00001275754,0.000001782052,0.00005450897],"genre_scores_gemma":[0.998118,0.000394035,0.0002159487,0.00008637892,0.00115161,5.087916e-8,0.000001957523,0.000007989453,0.00002404969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003435279,"threshold_uncertainty_score":0.1913348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02215162027170953,"score_gpt":0.3099910644256677,"score_spread":0.2878394441539582,"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."}}