{"id":"W2805246018","doi":"10.1016/j.ijcard.2018.06.007","title":"Increase in white blood cell count is associated with the development of atrial fibrillation after an acute coronary syndrome","year":2018,"lang":"en","type":"article","venue":"International Journal of Cardiology","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Bristol-Myers Squibb Canada; Patient-Centered Outcomes Research Institute; Biotronik; Philips; National Institutes of Health; Pfizer","keywords":"Medicine; Atrial fibrillation; Cardiology; Acute coronary syndrome; Internal medicine; White blood cell; Myocardial infarction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004688516,0.0003612525,0.0005176895,0.0007735633,0.0005159621,0.0008938833,0.0003809429,0.000874962,0.002326272],"category_scores_gemma":[0.003598267,0.0002827753,0.0006886589,0.001073878,0.0003437084,0.0003988297,0.000367496,0.001988552,0.000328682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001582608,"about_ca_system_score_gemma":0.0003879581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001361311,"about_ca_topic_score_gemma":0.001329451,"domain_scores_codex":[0.9993953,0.00015987,0.00009989091,0.00009942578,0.0001239816,0.0001215749],"domain_scores_gemma":[0.9955845,0.0009022814,0.002094668,0.0002277759,0.0003600972,0.0008307557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003189686,0.00007683192,0.9971545,0.00001166954,0.00009697388,0.0002833861,0.00001959987,0.00003139149,0.0005405669,0.00002762319,0.00008545738,0.001353002],"study_design_scores_gemma":[0.000006919195,0.0001184055,0.9985803,0.000008240518,0.00007559564,0.0005635044,0.00005063715,0.0003005698,0.0001022959,0.00006898089,0.000118545,0.000005926949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969574,0.0009637941,0.0002725723,0.0001884039,0.00008985078,0.000006632555,0.0001773719,0.00001278622,0.001331176],"genre_scores_gemma":[0.9989684,0.0002620225,0.0001479761,0.00005005061,0.0001060198,0.00000529352,0.0001724414,0.000003154397,0.000284607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002326272,"threshold_uncertainty_score":0.007782161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009321425221858054,"score_gpt":0.2616950949921814,"score_spread":0.2523736697703234,"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."}}