{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004051438,0.0004134613,0.0007663012,0.0006193399,0.0004706254,0.00258433,0.0005965343,0.0008731921,0.002561175],"category_scores_gemma":[0.01054141,0.0002003051,0.0003526724,0.0005894197,0.001228018,0.00104492,0.000711274,0.001099144,0.0003942594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146992,"about_ca_system_score_gemma":0.002976278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00279823,"about_ca_topic_score_gemma":0.003112116,"domain_scores_codex":[0.9982723,0.0008286292,0.00009488976,0.0001411128,0.0004581114,0.0002049726],"domain_scores_gemma":[0.9972801,0.001148881,0.0005037625,0.0002143364,0.0005444883,0.00030839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02837782,0.009157915,0.3486951,0.002839166,0.0008188023,0.00154755,0.002635034,0.002370784,0.1309685,0.005432665,0.01235531,0.4548013],"study_design_scores_gemma":[0.005443437,0.07353011,0.6650239,0.002442944,0.002087892,0.00243518,0.006514152,0.01147618,0.1646952,0.01022064,0.05583399,0.0002963614],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622722,0.02243838,0.002759915,0.005165961,0.001148447,0.0005035198,0.0007668511,0.00009884946,0.004845715],"genre_scores_gemma":[0.986653,0.005520346,0.004234577,0.001271325,0.0005335768,0.0002105142,0.0005446144,0.00001637482,0.001015627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004051438,"threshold_uncertainty_score":0.02142626,"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."}}