{"id":"W2347773851","doi":"10.1016/j.cjca.2015.07.184","title":"VARIABILITY IN ANTICOAGULATION DOSE ADJUSTMENT BASED ON DIFFERENT RENAL FUNCTION ESTIMATION FORMULAE","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Pharmacy and Medical Practices","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Renal function; Apixaban; Rivaroxaban; Dosing; Kidney disease; Atrial fibrillation; Dabigatran; Population; Warfarin; Urology; Internal medicine; Cardiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003282767,0.0001378162,0.0003415245,0.000326839,0.0000746009,0.000009774568,0.0001384565,0.0002593717,0.0001424467],"category_scores_gemma":[0.001553501,0.0001155055,0.000100225,0.0001348729,0.000127344,0.000195456,0.000007588718,0.000862968,0.00001804076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004922855,"about_ca_system_score_gemma":0.001038869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001348827,"about_ca_topic_score_gemma":0.0003224859,"domain_scores_codex":[0.9972568,0.001631882,0.0004731317,0.000147684,0.0001638761,0.000326686],"domain_scores_gemma":[0.9978962,0.0007009947,0.0002556111,0.0001157539,0.0001650039,0.0008664273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003571693,0.0001115457,0.09932531,0.00004321399,0.0002493173,0.0002519035,0.0003771529,0.7255324,0.001256707,0.001518306,0.02176526,0.1459972],"study_design_scores_gemma":[0.01132968,0.001804539,0.3450946,0.00006955612,0.0005396025,0.0001835672,0.0001051744,0.216472,0.001225669,0.00917271,0.4136355,0.000367412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9129766,0.000413867,0.05897707,0.005361076,0.009196745,0.0004905927,0.00003168199,0.00001768196,0.01253473],"genre_scores_gemma":[0.9971497,0.00001896084,0.0001078814,0.001886775,0.0007794402,0.000008312217,0.00002138031,0.000007879754,0.00001966591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5090604,"threshold_uncertainty_score":0.471018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1586415072466439,"score_gpt":0.4218353822684356,"score_spread":0.2631938750217918,"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."}}