{"id":"W4213345015","doi":"10.21203/rs.3.rs-144190/v1","title":"Stroke and Major Bleeding when Switching from Warfarin to Apixaban in Patients with Advanced Chronic Kidney Disease and Prevalent Atrial Fibrillation","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Apixaban; Medicine; Warfarin; Atrial fibrillation; Kidney disease; Internal medicine; Stroke (engine); Cardiology; Dialysis; Incidence (geometry); Rivaroxaban","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":[0.0006230628,0.0002177229,0.0004585954,0.0007378317,0.0007390054,0.001044659,0.0002634219,0.000574719,0.002111189],"category_scores_gemma":[0.002600151,0.0002370071,0.0009287286,0.001316241,0.0002984688,0.000556402,0.0005676153,0.0008405926,0.0001857124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003942027,"about_ca_system_score_gemma":0.0005668811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005924393,"about_ca_topic_score_gemma":0.008280459,"domain_scores_codex":[0.9991183,0.0002021302,0.0001333783,0.0002261822,0.0001270266,0.0001929262],"domain_scores_gemma":[0.9983321,0.0002809761,0.0008702069,0.00006749294,0.0001010582,0.0003481953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002381233,0.00004064569,0.9985096,0.000008481989,0.00006983394,0.00009141313,0.00003744482,0.00002712355,0.00004083113,0.00001214808,0.00009706307,0.0008273352],"study_design_scores_gemma":[0.00003144098,0.0001240783,0.9988145,0.00001007577,0.00006754777,0.000364447,0.00016934,0.0001880223,0.00001886721,0.00006844818,0.0001382586,0.000005002852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985757,0.0003214989,0.00004795478,0.0001161482,0.00001440001,0.000009109774,0.0003779014,0.000002024864,0.0005353185],"genre_scores_gemma":[0.9993421,0.0001123747,0.00004393275,0.00005960552,0.00002104058,0.000007178791,0.0003152435,5.76548e-7,0.0000978569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005924393,"threshold_uncertainty_score":0.01177984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04865281427452294,"score_gpt":0.3657332364101417,"score_spread":0.3170804221356188,"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."}}