{"id":"W6989727306","doi":"","title":"Can we design personalized acute graft-vs-host disease prevention and treatment strategies using registry data and sequential multiple-assignment randomized trials to improve disease-free survival of blood & marrow transplant patients?","year":2015,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Refractory (planetary science); Complication; Cohort; Myeloid leukemia; Hematopoietic cell; Randomized controlled trial; Disease; Clinical trial; Acute leukemia","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":[0.1087394,0.0013587,0.004145368,0.001449147,0.0004095423,0.001989095,0.002146092,0.002982961,0.003634918],"category_scores_gemma":[0.1717574,0.0009605057,0.003244415,0.001145533,0.001717833,0.003271233,0.001393444,0.002501411,0.0004683482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625123,"about_ca_system_score_gemma":0.005121802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001400843,"about_ca_topic_score_gemma":0.001870493,"domain_scores_codex":[0.9081175,0.08608966,0.001603049,0.002741622,0.0008324691,0.0006156976],"domain_scores_gemma":[0.8501973,0.1243747,0.01656902,0.005348044,0.001871189,0.001639746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.09813147,0.008185589,0.03665371,0.006587192,0.0212287,0.0001855348,0.0004828532,0.3496238,0.001157739,0.01716634,0.009295387,0.4513017],"study_design_scores_gemma":[0.1756057,0.03315794,0.01575636,0.002307858,0.01225113,0.000142517,0.0003215967,0.6061111,0.001973473,0.1396632,0.01235945,0.0003497071],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4495224,0.01891505,0.4461383,0.04862453,0.003439702,0.022668,0.002590759,0.002734734,0.005366455],"genre_scores_gemma":[0.7855957,0.002333941,0.1907657,0.00750115,0.0006374618,0.01172765,0.0007841441,0.00008532601,0.0005688898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1087394,"threshold_uncertainty_score":0.5750756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08653428381006631,"score_gpt":0.331434685398701,"score_spread":0.2449004015886347,"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."}}