{"id":"W2573622497","doi":"10.1002/cncr.30546","title":"Impact of pre‐transplant depression on outcomes of allogeneic and autologous hematopoietic stem cell transplantation","year":2017,"lang":"en","type":"article","venue":"Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Ottawa","funders":"National Institute of Allergy and Infectious Diseases; Office of Naval Research; Genentech; Health Resources and Services Administration; Onyx Pharmaceuticals; University of Minnesota; Medical College of Wisconsin; Therakos; National Heart, Lung, and Blood Institute; Novartis Pharmaceuticals Corporation; St. Baldrick's Foundation; Otsuka America Pharmaceutical; Fred Hutchinson Cancer Research Center; Alexion Pharmaceuticals; National Cancer Institute; Genzyme; Seattle Genetics; U.S. Department of Defense","keywords":"Medicine; Depression (economics); Hazard ratio; Transplantation; Internal medicine; Incidence (geometry); Hematopoietic stem cell transplantation; Proportional hazards model; Confidence interval; Surgery; Oncology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005072077,0.0001063842,0.000312151,0.0000396911,0.00004552093,0.00000561183,0.00007439113,0.00007498914,0.00006563037],"category_scores_gemma":[0.000002249695,0.00007333477,0.0001058845,0.00001787726,0.00007091007,0.00003784486,0.000007243873,0.00006810866,8.632605e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003400674,"about_ca_system_score_gemma":0.00007742747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001287691,"about_ca_topic_score_gemma":0.0003956384,"domain_scores_codex":[0.9994091,0.00001637023,0.0001659683,0.0001522937,0.0001453935,0.0001108717],"domain_scores_gemma":[0.9994072,0.00003441581,0.0001528341,0.0002972705,0.00004263422,0.0000656003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007858275,0.00005457233,0.9680779,0.0007769048,0.00007812954,0.00001610433,0.002778232,0.0000385363,0.01785276,0.00001102018,0.00002454922,0.009505479],"study_design_scores_gemma":[0.00102181,0.0002413243,0.920329,0.0003833733,0.0001838233,0.00001398253,0.00004166705,0.00001918579,0.07767181,0.00001022128,0.00001598173,0.00006785947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971721,0.001485701,0.00005942353,0.00006136781,0.0001660484,0.0001861686,0.0001295601,0.00001108827,0.0007285001],"genre_scores_gemma":[0.9985188,0.001175251,0.000008556293,0.00002743617,0.00001996718,0.00001829081,0.000008159713,0.00001171596,0.0002118595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05981905,"threshold_uncertainty_score":0.2990505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02102037423877926,"score_gpt":0.322646231079997,"score_spread":0.3016258568412177,"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."}}