{"id":"W2989343462","doi":"10.1016/j.bbmt.2019.11.003","title":"Predictors of Loss to Follow-Up Among Pediatric and Adult Hematopoietic Cell Transplantation Survivors: A Report from the Center for International Blood and Marrow Transplant Research","year":2019,"lang":"en","type":"article","venue":"Biology of Blood and Marrow Transplantation","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Cancer Foundation; BC Children's Hospital; University of Calgary; Ottawa Hospital; University of Manitoba; CancerCare Manitoba; University of British Columbia","funders":"Daiichi Sankyo Europe; Kite Pharma; National Cancer Institute; Daiichi Sankyo Company; Janssen Pharmaceuticals; National Heart, Lung, and Blood Institute","keywords":"Medicine; Cumulative incidence; Transplantation; Incidence (geometry); Hematopoietic stem cell transplantation; Hematopoietic cell; Pediatrics; Young adult; Internal medicine; Haematopoiesis; Stem cell","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":[0.0005535294,0.0001481909,0.0001987007,0.0006893126,0.0005432343,0.0005414274,0.0003119281,0.00030117,0.0009097374],"category_scores_gemma":[0.002342781,0.0001164602,0.0004087009,0.001088979,0.0001814344,0.0004289187,0.0004804437,0.0006091116,0.0001000736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004095161,"about_ca_system_score_gemma":0.0006224206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02080178,"about_ca_topic_score_gemma":0.01978558,"domain_scores_codex":[0.9997335,0.0000533766,0.00003163074,0.00003974875,0.0000520366,0.00008969777],"domain_scores_gemma":[0.9986324,0.0002621035,0.0004724505,0.00005698213,0.0002101238,0.0003659455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001193616,0.00001378359,0.9995289,6.802244e-7,0.000004649355,0.00001780211,0.00005783482,0.000006995102,0.00001569931,0.000003073414,0.00003133092,0.0003074311],"study_design_scores_gemma":[0.000001283384,0.00002779398,0.9993156,0.000001580675,0.00001084643,0.00006114037,0.0004319206,0.00005007632,0.00002565808,0.000004114296,0.00006869642,0.000001167601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993951,0.00006159707,0.00002788149,0.0000515549,0.000002563389,0.000003460765,0.0002710902,0.000001051454,0.0001855797],"genre_scores_gemma":[0.9994189,0.00005890489,0.00002969827,0.00002460223,0.000004723213,0.00000623438,0.0003444339,0.00000103295,0.0001114975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02080178,"threshold_uncertainty_score":0.04136139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642986791495171,"score_gpt":0.2858590948300804,"score_spread":0.2694292269151287,"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."}}