{"id":"W2913337636","doi":"10.3389/fimmu.2019.00189","title":"Individualization of Hematopoietic Stem Cell Transplantation Using Alpha/Beta T-Cell Depletion","year":2019,"lang":"en","type":"article","venue":"Frontiers in Immunology","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"Stiftelsen för Strategisk Forskning; Vetenskapsrådet; Radiumhemmets Forskningsfonder; Stiftelsen för Strategisk Forskning; Barncancerfonden; Stockholms Läns Landsting","keywords":"Medicine; Hematopoietic stem cell transplantation; Stem cell; Transplantation; CD34; Graft-versus-host disease; T cell; Immunology; Flow cytometry; Donor lymphocyte infusion; Haematopoiesis; Leukemia; Immune system; Gastroenterology; Lymphocyte; Internal medicine; 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":[0.0003151126,0.0004489108,0.0003819455,0.0003023847,0.0001588981,0.0003494073,0.000221057,0.0001509813,0.0009014459],"category_scores_gemma":[0.0001985812,0.00008600959,0.0002060141,0.0001838733,0.0001846032,0.0001825689,0.0002764777,0.0006657296,0.0003492796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009056511,"about_ca_system_score_gemma":0.0001510919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009008466,"about_ca_topic_score_gemma":0.0001324877,"domain_scores_codex":[0.9998573,0.00004134705,0.00001534246,0.00002851795,0.00003470678,0.00002274295],"domain_scores_gemma":[0.9999096,0.00002362082,0.00002148027,0.0000176513,0.000008530794,0.0000191001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001254521,0.000790644,0.006587443,0.0001856104,0.00005177864,0.0002457987,0.0001034533,0.001295675,0.8685063,0.0004100673,0.0002694832,0.1202993],"study_design_scores_gemma":[0.0002158205,0.01140445,0.01769084,0.00004430903,0.00020634,0.002671225,0.00004258537,0.003695313,0.9508515,0.0006587746,0.01250313,0.00001570067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711435,0.004958781,0.02158094,0.00009087133,0.00004184187,0.0002316534,0.00008956819,0.0001789017,0.001683973],"genre_scores_gemma":[0.986284,0.002454528,0.009831431,0.00009113495,0.00006132988,0.0001039981,0.000278207,0.00004011615,0.0008552552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009014459,"threshold_uncertainty_score":0.003015697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317864186809517,"score_gpt":0.2388359993679625,"score_spread":0.2256573574998673,"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."}}