{"id":"W2991303986","doi":"10.1182/blood-2019-122011","title":"The MAGIC Algorithm Probability (MAP): A Novel Laboratory Biomarker for the Response to Treatment of Acute Graft-Versus-Host Disease","year":2019,"lang":"en","type":"article","venue":"Blood","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Medicine; Graft-versus-host disease; Biomarker; Internal medicine; Disease; Clinical endpoint; Transplantation; Clinical trial; Hematopoietic stem cell transplantation; Oncology; Immunology; Gastroenterology; 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":[0.003284542,0.0009561467,0.001176761,0.002233408,0.0003515368,0.002464651,0.0008425621,0.001237204,0.001619525],"category_scores_gemma":[0.01854897,0.0003839768,0.0009431604,0.001541571,0.0007473141,0.001544191,0.001241683,0.001317986,0.0007657208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006489435,"about_ca_system_score_gemma":0.0008831174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008473316,"about_ca_topic_score_gemma":0.000738259,"domain_scores_codex":[0.9974213,0.0008849438,0.0001588446,0.0006024005,0.0008208988,0.0001116173],"domain_scores_gemma":[0.9928409,0.003792856,0.001870561,0.0005145803,0.0006723206,0.0003086527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003362288,0.000366207,0.3028372,0.0008678164,0.001233096,0.0004645676,0.0002676362,0.06038842,0.01574153,0.009551778,0.02103584,0.5838835],"study_design_scores_gemma":[0.0004261997,0.002582642,0.1790477,0.0003563889,0.001046837,0.004855232,0.0001509535,0.6908019,0.02066379,0.0581787,0.04151687,0.0003728532],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3305766,0.02589677,0.6135762,0.005474497,0.001014903,0.0005458245,0.006363719,0.004627414,0.01192411],"genre_scores_gemma":[0.8434476,0.003071717,0.144498,0.001310137,0.001109808,0.000443566,0.003535774,0.000310225,0.002273174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003284542,"threshold_uncertainty_score":0.01737052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02236009697963524,"score_gpt":0.2864290943989484,"score_spread":0.2640689974193132,"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."}}