{"id":"W2247928327","doi":"10.1016/j.cjca.2015.07.227","title":"STROKE AND BLEEDING OUTCOMES WITH APIXABAN VERSUS WARFARIN IN PATIENTS WITH HIGH CREATININE, LOW BODY WEIGHT OR HIGH AGE RECEIVING STANDARD DOSE APIXABAN FOR STROKE PREVENTION IN ATRIAL FIBRILLATION","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Hospital Edmonton","funders":"","keywords":"Medicine; Apixaban; Atrial fibrillation; Warfarin; Stroke (engine); Internal medicine; Cardiology; Creatinine; Major bleeding; Renal function; Rivaroxaban","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007966681,0.0003319907,0.001406837,0.0002954485,0.0004816304,0.001086368,0.0003251778,0.00080444,0.001865748],"category_scores_gemma":[0.003833977,0.0002786442,0.002280462,0.000508392,0.0003728825,0.0008437728,0.0004007182,0.001393443,0.0001476995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006330038,"about_ca_system_score_gemma":0.0006829486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003369311,"about_ca_topic_score_gemma":0.007073689,"domain_scores_codex":[0.9992335,0.0002453073,0.0001211586,0.0001340495,0.00008705599,0.0001789267],"domain_scores_gemma":[0.9988134,0.0004425691,0.0003141492,0.0000503066,0.00005803711,0.0003216825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.362057,0.002866487,0.5797895,0.0005377334,0.006995657,0.0007116377,0.0004285173,0.001113837,0.001941455,0.0004406681,0.002041786,0.04107578],"study_design_scores_gemma":[0.02158561,0.02622226,0.9406629,0.0001419785,0.005718013,0.0006044999,0.0007086667,0.002108803,0.0004195373,0.0008654316,0.0008736727,0.00008856299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974982,0.00142938,0.00004402467,0.0002202439,0.00006769309,0.00001535424,0.00011377,0.000002933485,0.0006083205],"genre_scores_gemma":[0.9988798,0.000460628,0.00007090058,0.0001410333,0.0001168445,0.00001437455,0.0001854582,0.000001378388,0.0001295798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003369311,"threshold_uncertainty_score":0.006699383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03944265221132439,"score_gpt":0.293037827201393,"score_spread":0.2535951749900686,"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."}}