{"id":"W4401689074","doi":"10.1016/j.carpath.2024.107686","title":"Acute pericardial postischemic inflammatory responses: Characterization using a preclinical porcine model","year":2024,"lang":"en","type":"article","venue":"Cardiovascular Pathology","topic":"Pericarditis and Cardiac Tamponade","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary; Libin Cardiovascular Institute of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Matrix metalloproteinase; Chemokine; Inflammatory response; Medicine; Inflammation; Matrix (chemical analysis); Immunology; Internal medicine; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009330194,0.000322286,0.001124841,0.0002454662,0.00009544287,0.00005387443,0.0001185057,0.0004052322,0.00003259466],"category_scores_gemma":[0.0002014141,0.0003018038,0.002206604,0.0003357132,0.0002178542,0.0001761633,0.0001403681,0.0005236704,0.00007897855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001771969,"about_ca_system_score_gemma":0.0005423556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001813475,"about_ca_topic_score_gemma":5.37477e-8,"domain_scores_codex":[0.9973533,0.0003471476,0.0005032999,0.0008297129,0.0004943414,0.0004722223],"domain_scores_gemma":[0.9985419,0.00006592235,0.00005363133,0.0009437879,0.0001535569,0.0002412328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005671973,0.00005617978,0.001922029,0.0002122668,0.005055646,0.01383976,0.0004441818,0.0008948185,0.9571359,0.0002029234,0.0004723183,0.01919681],"study_design_scores_gemma":[0.01195917,0.001590532,0.170415,0.00156031,0.03733265,0.1608348,0.000280546,0.2103694,0.03287609,0.0003764771,0.3685745,0.003830505],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9205275,0.009416973,0.06692821,0.0002964083,0.001014796,0.0005094623,0.0001880781,0.0003481499,0.0007704035],"genre_scores_gemma":[0.993,0.001448991,0.00245611,0.0006012132,0.001500591,0.00009881304,0.000388208,0.0001131317,0.0003929723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9242598,"threshold_uncertainty_score":0.9999434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03029675888348883,"score_gpt":0.3120919580724772,"score_spread":0.2817951991889884,"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."}}