{"id":"W4317490064","doi":"10.1016/j.thromres.2023.01.014","title":"Procoagulant phenotype induced by oxidized high-density lipoprotein associates with acute kidney injury and death","year":2023,"lang":"en","type":"article","venue":"Thrombosis Research","topic":"Neutrophil, Myeloperoxidase and Oxidative Mechanisms","field":"Immunology and Microbiology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Vancouver Coastal Health","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Agencia Nacional de Investigación y Desarrollo; Instituto Milenio en Inmunología e Inmunoterapia; Ministerio de Ciencia, Tecnología, Conocimiento e Innovación","keywords":"Creatinine; Acute kidney injury; Internal medicine; Tissue factor; Kidney; Medicine; Cystatin C; Endocrinology; Endothelial activation; Lipoprotein; Coagulation; Inflammation; Cholesterol","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":[0.0004287805,0.000368989,0.0003662043,0.0007351744,0.000265918,0.0004512461,0.0001999225,0.0004376107,0.001076489],"category_scores_gemma":[0.0004146798,0.0001810483,0.0003630178,0.0004111791,0.0003194758,0.0002162457,0.0003893729,0.0007528365,0.0002971468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001326594,"about_ca_system_score_gemma":0.0001994726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001551946,"about_ca_topic_score_gemma":0.0001571715,"domain_scores_codex":[0.9996475,0.0001239772,0.00003988696,0.00003680479,0.00007347805,0.00007828488],"domain_scores_gemma":[0.9992349,0.00005176739,0.0003536202,0.00007824391,0.00008628297,0.0001951545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005855853,0.0008027381,0.08982308,0.0001513058,0.000160794,0.005820093,0.0002464329,0.0001051665,0.8889838,0.0006059963,0.0002970698,0.00714761],"study_design_scores_gemma":[0.0002075335,0.004942981,0.6970077,0.00005975693,0.0002863435,0.02563698,0.0008600637,0.002050411,0.2650912,0.001226806,0.002591969,0.00003832417],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974865,0.0006778968,0.001201486,0.00006272848,0.00001955084,0.00001856439,0.00004886115,0.00001694634,0.000467586],"genre_scores_gemma":[0.9981132,0.000435455,0.0005860828,0.00004068473,0.00003389689,0.0000208802,0.0001289634,0.000003899461,0.0006369646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001076489,"threshold_uncertainty_score":0.003601193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05696467714239761,"score_gpt":0.3388968038141106,"score_spread":0.281932126671713,"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."}}