{"id":"W3017597775","doi":"10.1016/j.hemonc.2020.04.001","title":"Targeted recruitment of optimal donors for unrelated hematopoietic cell transplantation","year":2020,"lang":"en","type":"article","venue":"Hematology/Oncology and Stem Cell Therapy","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; Stem Cell Network; University of Ottawa; Ottawa Hospital; Princess Margaret Cancer Centre; Stemcell Technologies; University of British Columbia","funders":"Canadian Blood Services; University of Ottawa","keywords":"Club; Transplantation; Stem cell; Hematopoietic stem cell transplantation; Haematopoiesis; Hematopoietic cell; Process (computing); Immunology; Biology; Medicine; Cell biology; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01304607,0.0006162602,0.000443759,0.001230606,0.002035134,0.001702928,0.001779047,0.0009793176,0.02371723],"category_scores_gemma":[0.01486974,0.0002758474,0.0004552404,0.0004868103,0.0006479572,0.0009232435,0.005083407,0.000829153,0.0101951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001379713,"about_ca_system_score_gemma":0.006543722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001586741,"about_ca_topic_score_gemma":0.004044543,"domain_scores_codex":[0.9913418,0.00490888,0.0007505921,0.0005400633,0.001433284,0.001025563],"domain_scores_gemma":[0.9964122,0.0007295422,0.0005370093,0.0004459117,0.0007794914,0.001095856],"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":[0.003521959,0.005131107,0.06970981,0.002683741,0.00006567115,0.002339564,0.01078587,0.0009113811,0.01792852,0.00758802,0.1082248,0.7711095],"study_design_scores_gemma":[0.004567113,0.01593867,0.2303556,0.00802053,0.0002997966,0.01091294,0.01912672,0.005617294,0.04587317,0.01646498,0.6425586,0.0002647347],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5107698,0.006678891,0.1315728,0.01211247,0.00203817,0.1788378,0.003052061,0.001465949,0.1534721],"genre_scores_gemma":[0.6233509,0.004422816,0.2213817,0.01103399,0.0009948922,0.1021972,0.002864963,0.0003501394,0.03340333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02371723,"threshold_uncertainty_score":0.07934201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05901093002946059,"score_gpt":0.3038925338736823,"score_spread":0.2448816038442217,"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."}}