{"id":"W2992108607","doi":"10.1182/bloodadvances.2019000791","title":"The MAGIC algorithm probability is a validated response biomarker of treatment of acute graft-versus-host disease","year":2019,"lang":"en","type":"article","venue":"Blood Advances","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; National Institutes of Health","keywords":"MAGIC (telescope); Biomarker; Algorithm; Medicine; Disease; Internal medicine; Computer science; Biology; Physics","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":[0.003126881,0.0007211259,0.001161796,0.001986376,0.0002748191,0.001339802,0.0005398384,0.0006105687,0.001518838],"category_scores_gemma":[0.01458878,0.0002505881,0.0006510147,0.001236486,0.0003211743,0.0006743274,0.0008201962,0.0005566921,0.0004340339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004773106,"about_ca_system_score_gemma":0.0009720586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001284119,"about_ca_topic_score_gemma":0.001589827,"domain_scores_codex":[0.9976,0.0009982712,0.0001967995,0.0003874392,0.0006949896,0.0001224592],"domain_scores_gemma":[0.9931569,0.003449913,0.001858337,0.0005195414,0.0007798198,0.0002354797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004237429,0.0003495211,0.6546785,0.0003310046,0.0007946021,0.000127669,0.0001210434,0.03607573,0.007410159,0.001248106,0.008792386,0.2858338],"study_design_scores_gemma":[0.0005365706,0.00274614,0.521945,0.0001064432,0.0004896515,0.001614657,0.00008092834,0.4473929,0.01088677,0.004080107,0.009985329,0.0001354449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8656706,0.004169592,0.1117606,0.0008463259,0.0001608957,0.0006772339,0.006889686,0.002819255,0.007005761],"genre_scores_gemma":[0.9213549,0.0004390227,0.07116657,0.0002206866,0.0001121609,0.0003961471,0.005078973,0.0001317084,0.00110002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003126881,"threshold_uncertainty_score":0.01653671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02049118854891974,"score_gpt":0.3005570516442381,"score_spread":0.2800658630953183,"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."}}