{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001881198,0.0001996373,0.0003380831,0.00005777743,0.0001689884,0.00003800441,0.00008008842,0.00008136037,0.0001966081],"category_scores_gemma":[0.00001047777,0.000173439,0.00003844228,0.0001085706,0.00009246229,0.0001229097,0.00002053214,0.0001470659,0.00002275167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005032028,"about_ca_system_score_gemma":0.00003225205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001525927,"about_ca_topic_score_gemma":0.0001293983,"domain_scores_codex":[0.9986481,0.0003593336,0.0002448866,0.0003987919,0.0001063133,0.0002425421],"domain_scores_gemma":[0.9993154,0.0002942173,0.000175877,0.00009472988,0.00006090481,0.00005884597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003924869,0.0001952311,0.1084525,0.0001554999,0.0009902185,0.00002713823,0.002283423,0.00002591058,0.8746889,0.00249128,0.0009478792,0.005817101],"study_design_scores_gemma":[0.007593801,0.001140593,0.7030567,0.0001300669,0.0004108259,0.00002216168,0.0002461657,0.00005852582,0.2654575,0.00006843993,0.02115225,0.0006629509],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947405,0.0005235162,0.001954868,0.0006493195,0.0001927921,0.0004670308,0.001148555,0.0001049365,0.0002185091],"genre_scores_gemma":[0.9982842,0.000598026,0.0001722165,0.00007065319,0.00005726632,0.00002979102,0.000739268,0.00001570647,0.00003293583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6092314,"threshold_uncertainty_score":0.7072638,"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."}}