{"id":"W4401328165","doi":"10.1016/j.jtha.2024.07.015","title":"Small molecules targeting GRP78 mitigate anti-GRP78 autoantibody–mediated tissue factor procoagulant activity in cultured endothelial cells","year":2024,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"Endoplasmic Reticulum Stress and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; Thrombosis and Atherosclerosis Research Institute; McMaster University; University of Alberta; St. Joseph’s Healthcare Hamilton","funders":"Canadian Institutes of Health Research; Amgen Canada; McMaster University; Heart and Stroke Foundation of Canada; Amgen","keywords":"Autoantibody; Tissue factor; Epitope; Intracellular; Endothelial stem cell; Cell culture; Antibody; Immunology; Molecular biology; Medicine; Chemistry; Cell biology; Biology; Biochemistry; In vitro; Internal medicine; Coagulation","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":[0.000281894,0.0005546274,0.000781142,0.0002641094,0.0002484415,0.0004266821,0.0003554052,0.0005073639,0.001972724],"category_scores_gemma":[0.0002415995,0.0001931446,0.0003676024,0.0002195142,0.0003013682,0.0002844854,0.0001965577,0.001158934,0.0005234233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002297714,"about_ca_system_score_gemma":0.0002648649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005429591,"about_ca_topic_score_gemma":0.000869606,"domain_scores_codex":[0.9997805,0.00004988507,0.00002095242,0.00003353702,0.00004546786,0.00006972613],"domain_scores_gemma":[0.9998531,0.00004598299,0.00003009665,0.0000218416,0.00001811487,0.00003079492],"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":[0.0005623205,0.0001718111,0.00003735962,0.00007543361,0.00002092663,0.00009974562,0.00002434861,0.0001842992,0.9963555,0.0001122506,0.0001601199,0.00219587],"study_design_scores_gemma":[0.0001837146,0.001232069,0.0006790147,0.000004836606,0.00003669105,0.00010429,0.00002520505,0.0009423918,0.9954298,0.00004600302,0.001310295,0.000005735763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913443,0.002018658,0.003817229,0.0002493642,0.0001951044,0.00007977061,0.0002797339,0.0001725691,0.001843207],"genre_scores_gemma":[0.9935037,0.001128192,0.002606365,0.0001146016,0.00005140896,0.000092558,0.0003256038,0.00002637312,0.002151192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001972724,"threshold_uncertainty_score":0.006599426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02604581125488053,"score_gpt":0.2929882980960752,"score_spread":0.2669424868411946,"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."}}