{"id":"W4401504225","doi":"10.1159/000540845","title":"Galectin-3 and Soluble CD146 Identify Cardiorenal Injuries in Severe Burn Patients: A Biomarker-Based Approach","year":2024,"lang":"en","type":"article","venue":"Cardiorenal Medicine","topic":"Galectins and Cancer Biology","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; St. Michael's Hospital","funders":"Agence Nationale de la Recherche","keywords":"Medicine; Biomarker; Galectin-3; CD146; Uremic toxins; Intensive care medicine; Cardiorenal syndrome; Severe burn; Renal injury; Bioinformatics; Internal medicine; Pathology; Renal function; Kidney disease; Stem cell","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002328628,0.0007772297,0.000910086,0.001275518,0.0003108691,0.001346117,0.0004976789,0.0006180259,0.00167479],"category_scores_gemma":[0.002731418,0.0003148249,0.0008084633,0.0008714114,0.0003017189,0.0006647969,0.0008709921,0.0008484708,0.0003458935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002237523,"about_ca_system_score_gemma":0.0004603935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002958206,"about_ca_topic_score_gemma":0.0004479162,"domain_scores_codex":[0.9991649,0.0003565715,0.00008660353,0.0001094369,0.0002139476,0.00006854007],"domain_scores_gemma":[0.9984207,0.000350773,0.0006663679,0.00009383175,0.0002761293,0.000192205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001305256,0.0001816809,0.9841988,0.0001035511,0.0002317929,0.0001127623,0.00004488191,0.0002344646,0.002641728,0.00005529026,0.0001284205,0.01076126],"study_design_scores_gemma":[0.0001480433,0.00208477,0.9843622,0.0001564267,0.0005372367,0.002175665,0.0004070929,0.006325705,0.002425038,0.000397492,0.0009502947,0.00002999261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918863,0.004704569,0.001974673,0.0002850693,0.0000336822,0.0001050927,0.0002288266,0.00001752664,0.0007641517],"genre_scores_gemma":[0.9963576,0.0008540249,0.002213508,0.00009301156,0.00004919,0.00003810316,0.0002246076,0.000002285599,0.0001676659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002328628,"threshold_uncertainty_score":0.01231515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147225707103101,"score_gpt":0.2659072936005835,"score_spread":0.2511847228902734,"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."}}