{"id":"W2001608123","doi":"10.1038/bmt.2015.19","title":"Risk model incorporating donor IL6 and IFNG genotype and gastrointestinal GVHD can discriminate patients at high risk of steroid refractory acute GVHD","year":2015,"lang":"en","type":"article","venue":"Bone Marrow Transplantation","topic":"Adrenal Hormones and Disorders","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Medicine; Internal medicine; Gastroenterology; Odds ratio; Incidence (geometry); Single-nucleotide polymorphism; Genotype; Refractory (planetary science); Hematology; Risk factor; Immunology; Gene; Biology","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":[0.001598781,0.0008856222,0.0007193116,0.0008415214,0.0002887771,0.0010995,0.0007893246,0.000771645,0.005318518],"category_scores_gemma":[0.00406578,0.0002448857,0.001462671,0.0003829598,0.0001983059,0.0005715771,0.0005422268,0.0009791972,0.0007522599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003470117,"about_ca_system_score_gemma":0.0008754085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004152279,"about_ca_topic_score_gemma":0.00370055,"domain_scores_codex":[0.9995516,0.0001804394,0.00003365072,0.00009697153,0.00005127214,0.00008615192],"domain_scores_gemma":[0.9978218,0.00147359,0.000269656,0.0001162658,0.000133956,0.000184708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003384907,0.0006161629,0.8053509,0.00008503247,0.001186736,0.0007636679,0.00008155506,0.1376675,0.001627232,0.002251328,0.003213178,0.0437719],"study_design_scores_gemma":[0.0001277823,0.000537088,0.07167887,0.00004604337,0.0007892533,0.0006154727,0.00008781847,0.9191422,0.0005155096,0.004823323,0.001594683,0.00004202372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447281,0.0008849488,0.04764557,0.001546979,0.0002381542,0.00007809418,0.001698754,0.0003407523,0.002838723],"genre_scores_gemma":[0.9940197,0.000128777,0.002959658,0.0001125581,0.00006895571,0.00002784315,0.0008100357,0.00002140986,0.001851025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005318518,"threshold_uncertainty_score":0.01779222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315959422865156,"score_gpt":0.2264605513968348,"score_spread":0.2133009571681832,"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."}}