{"id":"W2538912785","doi":"10.1182/blood.v126.23.1917.1917","title":"Incidence and Risk Factors for Nontuberculous Mycobacteria Infection after Allogeneic Hematopoietic Cell Transplantation","year":2015,"lang":"en","type":"article","venue":"Blood","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Medicine; Nontuberculous mycobacteria; Cumulative incidence; Incidence (geometry); Internal medicine; Transplantation; Population; Epidemiology; Proportional hazards model; Hematopoietic stem cell transplantation; Immunology; Tuberculosis; Pathology; Mycobacterium","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":[0.000490933,0.0001478093,0.0002113325,0.0006496178,0.0002768663,0.0004952666,0.0002768161,0.0002965731,0.001952399],"category_scores_gemma":[0.001723833,0.0001307734,0.0002246399,0.001027404,0.000238386,0.0003460615,0.000343307,0.000366428,0.0001891443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003215552,"about_ca_system_score_gemma":0.0003836303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001842191,"about_ca_topic_score_gemma":0.001915411,"domain_scores_codex":[0.9994913,0.000103752,0.00008437776,0.00008303492,0.0001424836,0.00009505248],"domain_scores_gemma":[0.997887,0.000300701,0.001347273,0.00006283937,0.0001427325,0.0002594433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002713428,0.000009246989,0.9992286,0.00000507359,0.000006623043,0.00008653574,0.0000142146,0.00001281261,0.00006002885,0.000004146231,0.00004444141,0.000501255],"study_design_scores_gemma":[0.000002860358,0.00004316094,0.9989484,0.000007621206,0.000009297383,0.0005968381,0.00008344773,0.0001283449,0.00008300437,0.000007669123,0.00008787794,0.000001447546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991161,0.0004026742,0.00004077738,0.00003714576,0.000003586573,0.000004684788,0.0001629859,0.000002629021,0.0002294175],"genre_scores_gemma":[0.9996762,0.00009810785,0.00002537443,0.000007889553,0.000007803171,0.000002838839,0.0001417432,6.174621e-7,0.00003960503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001952399,"threshold_uncertainty_score":0.006531477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715198566586995,"score_gpt":0.2658721014662266,"score_spread":0.2487201158003567,"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."}}