{"id":"W2934087504","doi":"10.1016/j.bbmt.2019.04.002","title":"Reply to: Pharmacologic Considerations in Antithymocyte Globulin Exposure Calculation","year":2019,"lang":"en","type":"letter","venue":"Biology of Blood and Marrow Transplantation","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Constructive; Population; Cmax; Sampling (signal processing); Statistics; Estimation; Plasma concentration; Econometrics; Internal medicine; Mathematics; Computer science","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":[0.008446741,0.001083542,0.001362068,0.0009958195,0.002003625,0.002903671,0.003384803,0.02508175,0.005023053],"category_scores_gemma":[0.09968923,0.0008377224,0.001962603,0.0009052589,0.003364831,0.003694069,0.002033665,0.03434914,0.006492192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003356796,"about_ca_system_score_gemma":0.003586729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004526126,"about_ca_topic_score_gemma":0.003928605,"domain_scores_codex":[0.9937631,0.001964584,0.001496422,0.0006608298,0.00166561,0.000449403],"domain_scores_gemma":[0.9512194,0.02660935,0.002147199,0.001341117,0.0167571,0.001925813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008875514,0.00002019982,0.0005944282,0.0001717512,0.0000289191,0.0007976027,0.0001603275,0.0001347258,0.0001761669,0.001124096,0.987672,0.009030953],"study_design_scores_gemma":[0.0001199705,0.00008628722,0.001613888,0.0007018009,0.00007958512,0.003958142,0.0005857034,0.0008137268,0.0009043639,0.004705694,0.9862661,0.0001647167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003852532,0.002732938,0.000859451,0.8889111,0.1062751,0.00002821365,0.0001296663,0.0001154065,0.0005628746],"genre_scores_gemma":[0.004035939,0.002093089,0.001832308,0.8853878,0.1037786,0.0001042066,0.0000634629,0.00009372897,0.00261087],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02508175,"threshold_uncertainty_score":0.04467118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152091251901224,"score_gpt":0.2823737802902703,"score_spread":0.260852867771258,"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."}}