{"id":"W4281920016","doi":"10.1093/ehjcvp/pvac036","title":"Antithrombotic drug removal from whole blood using Haemoadsorption with a porous polymer bead sorbent","year":2022,"lang":"en","type":"article","venue":"European Heart Journal - Cardiovascular Pharmacotherapy","topic":"Blood transfusion and management","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton","funders":"Janssen Pharmaceuticals; Daiichi Sankyo Company; Canadian Institutes of Health Research; Bristol-Myers Squibb Canada; LEO Pharma; Cytori Therapeutics; Medicines Company; AstraZeneca Pharma Poland; Portola Pharmaceuticals; Boehringer Ingelheim; Pfizer; Heart and Stroke Foundation of Canada; Bayer; Servier; Rutgers, The State University of New Jersey; Bristol-Myers Squibb","keywords":"Antithrombotic; Rivaroxaban; Apixaban; Ticagrelor; Whole blood; Medicine; Drug; Pharmacology; Surgery; Warfarin; Internal medicine; Atrial fibrillation; Aspirin; Clopidogrel","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005530192,0.0004715156,0.0004689879,0.0002920069,0.0001426512,0.0005471981,0.0003394283,0.0004876395,0.0006872166],"category_scores_gemma":[0.0006054461,0.000171336,0.0004028854,0.0001554093,0.0002975448,0.0003070028,0.0002383539,0.0002914537,0.0004199128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002275153,"about_ca_system_score_gemma":0.0003020298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000846173,"about_ca_topic_score_gemma":0.0005787481,"domain_scores_codex":[0.9993925,0.0000879196,0.00004144731,0.0001492764,0.0002662275,0.00006253464],"domain_scores_gemma":[0.9997553,0.000076433,0.00006855946,0.00002477793,0.00005014477,0.00002477061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001400292,0.00004908232,0.0003212104,0.00004745106,0.00001364986,0.00002827693,0.00001193624,0.00005809391,0.9956045,0.00001172602,0.00002795637,0.003686073],"study_design_scores_gemma":[0.00002578588,0.0008402604,0.003743278,0.000005241757,0.00003537658,0.0002348831,0.00001128897,0.001512081,0.9929997,0.000006664404,0.0005769214,0.000008505908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705064,0.002164165,0.02616294,0.0001229576,0.0000546501,0.00009481438,0.00009942186,0.0002321149,0.0005624967],"genre_scores_gemma":[0.9601271,0.001637236,0.03539741,0.0002114907,0.00004564925,0.00008813519,0.0002642464,0.00003675714,0.002192011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000846173,"threshold_uncertainty_score":0.002924621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03481586811778516,"score_gpt":0.2796635955175815,"score_spread":0.2448477273997964,"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."}}