{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001565776,0.0003479544,0.0006868105,0.0002745128,0.0006997394,0.0001128874,0.0002226505,0.00002127825,0.001454828],"category_scores_gemma":[0.000002749498,0.0002991691,0.001065533,0.0003897458,0.00006969374,0.0001725741,0.00008832056,0.0009246605,0.00007079492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001211325,"about_ca_system_score_gemma":0.0001178103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001768011,"about_ca_topic_score_gemma":0.000001755536,"domain_scores_codex":[0.9957432,0.001303985,0.0004804831,0.0005242289,0.001469638,0.000478437],"domain_scores_gemma":[0.9988102,0.00001830884,0.00013223,0.000582587,0.00009655604,0.0003600881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001839114,0.002376128,0.004827615,0.00009713158,0.02499534,0.02978728,0.002871535,0.0119455,0.8786321,0.00001575748,0.01003522,0.03257731],"study_design_scores_gemma":[0.04898939,0.00156497,0.01573639,0.0004253685,0.01219705,0.0724274,0.001881677,0.001091723,0.07138468,0.00001809256,0.7728552,0.001428024],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657118,0.02793876,0.002425112,0.001433555,0.0008036701,0.0006761522,0.00002804897,0.0001423736,0.0008405353],"genre_scores_gemma":[0.9866962,0.002474162,0.002668024,0.005524414,0.001488973,0.000009908718,0.00003314565,0.0002407302,0.0008644306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8072474,"threshold_uncertainty_score":0.9999461,"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."}}