{"id":"W4292865496","doi":"10.3389/fphys.2022.965611","title":"Endothelitis profile in acute heart failure and cardiogenic shock patients: Endocan as a potential novel biomarker and putative therapeutic target","year":2022,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"Inflammation biomarkers and pathways","field":"Immunology and Microbiology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Centre hospitalier universitaire Sainte-Justine; Fundação para a Ciência e a Tecnologia; Ministerio de Economía y Competitividad","keywords":"Medicine; Heart failure; Endothelial activation; Internal medicine; Ejection fraction; Natriuretic peptide; Cardiogenic shock; Creatinine; Endothelial dysfunction; Biomarker; Inflammation; Gastroenterology; Troponin T; Shock (circulatory); Cardiology; Septic shock; Systemic inflammation; Sepsis; Myocardial infarction; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003108027,0.0003317397,0.0006035704,0.0005245284,0.0001514732,0.000528141,0.0001762842,0.0003523912,0.0005996033],"category_scores_gemma":[0.0005127674,0.00006128425,0.0001938311,0.0003915751,0.0001548409,0.0002371534,0.0002202335,0.0003884846,0.0000841166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600822,"about_ca_system_score_gemma":0.000234542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003120542,"about_ca_topic_score_gemma":0.0004402987,"domain_scores_codex":[0.999896,0.00003142138,0.00001204598,0.00001955069,0.0000212122,0.0000196663],"domain_scores_gemma":[0.9997345,0.0000483999,0.00009927615,0.000006712215,0.00004411242,0.00006707444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009939337,0.0006462051,0.7755139,0.0007704123,0.0003872148,0.003726441,0.0002243375,0.0008483217,0.05937837,0.0003208818,0.001131097,0.1471134],"study_design_scores_gemma":[0.0002576505,0.003693476,0.9742106,0.0002415678,0.0005560953,0.004295793,0.0005291866,0.005048949,0.006790466,0.0005737576,0.003761653,0.00004084379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729653,0.02405058,0.0009750992,0.0004789202,0.00007217566,0.0000483464,0.0002161217,0.00002192449,0.001171561],"genre_scores_gemma":[0.992676,0.005082507,0.001390085,0.0001758534,0.0001884405,0.00003552006,0.0002041525,0.00000225344,0.0002452916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006035704,"threshold_uncertainty_score":0.002005816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004937588079486238,"score_gpt":0.2014388968151208,"score_spread":0.1965013087356346,"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."}}