{"id":"W2780797090","doi":"10.1016/j.cjca.2017.12.021","title":"Personalized Anticoagulation: Guided Apixaban Dose Adjustment to Compensate for Pharmacokinetic Abnormalities Related to Short-Bowel Syndrome","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Antibiotics Pharmacokinetics and Efficacy","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Calgary","funders":"","keywords":"Medicine; Apixaban; Dosing; Fondaparinux; Pharmacokinetics; Short bowel syndrome; Enteral administration; Warfarin; Thrombosis; Heparin; Pharmacology; Rivaroxaban; Intensive care medicine; Internal medicine; Venous thromboembolism; Parenteral nutrition; Atrial fibrillation","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":[0.0005862494,0.0004616692,0.0007711598,0.0004392035,0.000274155,0.001212419,0.0003622437,0.0006447671,0.001333793],"category_scores_gemma":[0.002545231,0.0001506674,0.0004778124,0.0003601742,0.0001664754,0.0005308937,0.0003159007,0.001158606,0.0003773279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005108616,"about_ca_system_score_gemma":0.0006816715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001146714,"about_ca_topic_score_gemma":0.00158961,"domain_scores_codex":[0.9994386,0.000158171,0.00009171572,0.0001094192,0.0001648927,0.00003721871],"domain_scores_gemma":[0.9994432,0.0001734448,0.0001700108,0.00005135603,0.0001004094,0.0000615307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.003894428,0.001038944,0.09320148,0.0004535701,0.0006886836,0.002451376,0.0003055212,0.007543633,0.02873598,0.001860446,0.01761318,0.8422127],"study_design_scores_gemma":[0.00270527,0.007431367,0.5513667,0.001343926,0.004154427,0.03167719,0.0007471157,0.1898644,0.07357597,0.01638415,0.1203123,0.0004371836],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7525917,0.02523015,0.1649122,0.01611761,0.001796766,0.0005242112,0.0007327574,0.004779985,0.03331462],"genre_scores_gemma":[0.9496294,0.002389138,0.04362521,0.002084939,0.000454419,0.00006968106,0.0002459862,0.0001289378,0.001372236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001333793,"threshold_uncertainty_score":0.004462004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0569908454825064,"score_gpt":0.3523303588239416,"score_spread":0.2953395133414353,"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."}}