{"id":"W1969340776","doi":"10.1016/j.jsbmb.2009.05.001","title":"Effect of high-dose dexamethasone on endothelial haemostatic gene expression and neutrophil adhesion","year":2009,"lang":"en","type":"article","venue":"The Journal of Steroid Biochemistry and Molecular Biology","topic":"Blood Coagulation and Thrombosis Mechanisms","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute; Université de Montréal; McGill University Health Centre","funders":"McGill University Health Centre","keywords":"Thrombomodulin; Von Willebrand factor; Dexamethasone; Tumor necrosis factor alpha; Cell adhesion molecule; Umbilical vein; Immunology; Cell adhesion; Medicine; Lipopolysaccharide; Inflammation; Glucocorticoid; Endothelium; Pharmacology; Adhesion; Internal medicine; Endocrinology; Thrombin; Chemistry; Platelet; Biochemistry; In vitro","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":[0.0004940929,0.0004973391,0.0009863606,0.0003638339,0.0004146937,0.0008035815,0.0005407716,0.0008065711,0.004076788],"category_scores_gemma":[0.001054149,0.000271083,0.0006360933,0.00044233,0.001329393,0.0005079078,0.0003824678,0.002031182,0.0005297324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007042509,"about_ca_system_score_gemma":0.001013036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003223591,"about_ca_topic_score_gemma":0.004237988,"domain_scores_codex":[0.9992261,0.0002370356,0.00004905735,0.0000963387,0.0000751782,0.0003163069],"domain_scores_gemma":[0.9987264,0.0006454925,0.00008234186,0.0002200296,0.00006426626,0.0002613569],"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":[0.07261936,0.002985773,0.001757637,0.0001757998,0.00008221195,0.0006823704,0.0003242229,0.00062722,0.9093546,0.0007617443,0.000836271,0.00979278],"study_design_scores_gemma":[0.001965077,0.01420372,0.01524322,0.00003380216,0.000158765,0.0004720774,0.0008427846,0.0015248,0.9608076,0.0004835062,0.004214818,0.00004987908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933831,0.00262335,0.0006811455,0.0006315968,0.0004181564,0.00006803391,0.0006392234,0.00004835368,0.001507065],"genre_scores_gemma":[0.9956577,0.0007389082,0.0005452827,0.0001412048,0.0001026278,0.00005353863,0.0003926812,0.00001433276,0.002353617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004076788,"threshold_uncertainty_score":0.0136382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009548211282719422,"score_gpt":0.2766618418706274,"score_spread":0.267113630587908,"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."}}