{"id":"W3006134964","doi":"10.1097/txd.0000000000000978","title":"High-activity Classical and Alternative Complement Pathway Genotypes—Association With Donor-specific Antibody-triggered Injury and Renal Allograft Survival","year":2020,"lang":"en","type":"article","venue":"Transplantation Direct","topic":"Complement system in diseases","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Metabolomics Innovation Centre; University of Alberta","funders":"Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; Austrian Science Fund; Semmelweis Egyetem; Emberi Eroforrások Minisztériuma; Fonds National de la Recherche Luxembourg; Vienna Science and Technology Fund","keywords":"Medicine; Interquartile range; Hazard ratio; Cohort; Complement system; Internal medicine; Kidney transplantation; Antibody; Gastroenterology; Immunology; Kidney; Confidence interval","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":[0.0005801909,0.0002675433,0.0002672317,0.0004415029,0.0002211657,0.0004425356,0.0002688394,0.0004261092,0.001716581],"category_scores_gemma":[0.001194328,0.000172606,0.0002345349,0.0003482739,0.0002739546,0.0002652776,0.0003063021,0.0005007326,0.0001700768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001374491,"about_ca_system_score_gemma":0.0001741469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006087497,"about_ca_topic_score_gemma":0.0004932854,"domain_scores_codex":[0.9997327,0.00007564224,0.0000287096,0.00006949589,0.00004245602,0.00005101617],"domain_scores_gemma":[0.9983096,0.0003677852,0.0007341088,0.0001059499,0.00009531733,0.0003872132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002977398,0.00002637379,0.9971001,0.000004345735,0.0000455737,0.00008102221,0.00001775384,0.0000352848,0.0014243,0.00001827222,0.00002393334,0.000925403],"study_design_scores_gemma":[0.000007083557,0.0001352507,0.9981882,0.000002541517,0.00003861114,0.000910838,0.00003830621,0.0003127268,0.0002676795,0.00004195979,0.00005397741,0.000002664819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997432,0.00009795519,0.00005578115,0.000009866732,0.000001386726,9.152563e-7,0.00002518525,0.000001394588,0.00006438533],"genre_scores_gemma":[0.9998369,0.00002482395,0.00004417643,0.000006532164,0.000004570805,0.000001068648,0.00003838093,7.73104e-7,0.00004264969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001716581,"threshold_uncertainty_score":0.00574255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02255640210345029,"score_gpt":0.2563116380820564,"score_spread":0.2337552359786061,"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."}}