{"id":"W2471675214","doi":"10.1182/blood.v124.21.422.422","title":"Pre-Transplant C-Reactive Protein (CRP), Ferritin and Albumin As Biomarkers to Predict Transplant Related Mortality (TRM) after Allogeneic Hematopoietic Cell Transplant (HCT)","year":2014,"lang":"en","type":"article","venue":"Blood","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Ferritin; Medicine; Biomarker; Hematopoietic stem cell transplantation; Internal medicine; Transplantation; Albumin; Gastroenterology; C-reactive protein; Population; Cohort; Immunology; Oncology; 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":[0.002099642,0.0003534519,0.0002976771,0.0005914386,0.0002299459,0.0006442008,0.0004120798,0.0002755785,0.001152462],"category_scores_gemma":[0.003346999,0.0001569611,0.0004503327,0.0004386063,0.0002372617,0.000311515,0.0004730165,0.0007113877,0.0001813081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003289639,"about_ca_system_score_gemma":0.0004464735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001157734,"about_ca_topic_score_gemma":0.001972339,"domain_scores_codex":[0.9995074,0.0002372839,0.00003998305,0.00006878244,0.0000843899,0.00006214717],"domain_scores_gemma":[0.9982315,0.0006896909,0.000553706,0.0001654479,0.000114177,0.0002456249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006446731,0.00005861048,0.9955794,0.000005152655,0.00005656574,0.00002914696,0.00001889909,0.0003556646,0.0003120645,0.00002194213,0.00008032063,0.002837463],"study_design_scores_gemma":[0.00003774188,0.0008125281,0.9902421,0.00001257456,0.0001222756,0.0002895334,0.0001113482,0.006966478,0.001043521,0.0001305167,0.000224186,0.000007233452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990302,0.0001473011,0.0004733002,0.00003591106,0.000004696677,0.00001251166,0.0001314725,0.000009761811,0.0001549304],"genre_scores_gemma":[0.9994685,0.0000286103,0.0003070226,0.000009030576,0.000005553303,0.000009627714,0.0001026333,0.000001495444,0.00006753203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002099642,"threshold_uncertainty_score":0.01110411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004987768515157853,"score_gpt":0.2147171049580242,"score_spread":0.2097293364428664,"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."}}