{"id":"W4307024080","doi":"10.1016/j.cjca.2022.08.180","title":"DETERMINING THE TRANSLATIONAL POTENTIAL OF HUMAN PERICARDIAL FLUID TO IMPROVE CLINICAL OUTCOMES IN CARDIAC SURGERY","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Pericarditis and Cardiac Tamponade","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Medicine; Atrial fibrillation; Fibrosis; Pericardium; Cardiology; Pericardial fluid; Matrix metalloproteinase; Internal medicine; Cardiac surgery; Immune system; Interleukin; Surgery; Cytokine; Immunology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002369377,0.000149352,0.001567756,0.000435945,0.0001806012,0.00001114033,0.0002156789,0.00009947232,0.00003940193],"category_scores_gemma":[0.0004037551,0.0001199472,0.001824263,0.0002442902,0.0002160686,0.00004497725,0.00003584709,0.0006136679,0.000001591152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001683922,"about_ca_system_score_gemma":0.001962491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004102147,"about_ca_topic_score_gemma":0.00009941378,"domain_scores_codex":[0.9971509,0.0008780992,0.00100059,0.0002011473,0.0003772571,0.0003920281],"domain_scores_gemma":[0.9984249,0.0004269258,0.0002326043,0.0002660705,0.0001597939,0.0004897126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009539288,0.000007356659,0.979584,0.000004947031,0.0004799944,0.0002807418,0.0001714588,0.0008850705,0.0009368946,0.00003374232,0.007073729,0.0104467],"study_design_scores_gemma":[0.000647992,0.0004623036,0.9349464,0.00000864307,0.0002084816,0.0002275482,0.0003011861,0.000003301689,0.00002045574,0.00004029668,0.0630229,0.0001105028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925788,0.0003394186,0.0001745797,0.001967618,0.003105434,0.0002413151,0.0002414433,0.000003259229,0.001348151],"genre_scores_gemma":[0.9975871,0.00002104789,0.00005101684,0.0005554768,0.001687794,0.00002091103,0.00002270731,0.00002158355,0.00003229383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05594918,"threshold_uncertainty_score":0.4891307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02796162409235531,"score_gpt":0.3038582255788431,"score_spread":0.2758966014864878,"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."}}