{"id":"W4223999394","doi":"10.1111/tid.13835","title":"COVID‐19 in vaccinated versus unvaccinated hematologic malignancy patients","year":2022,"lang":"en","type":"article","venue":"Transplant Infectious Disease","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; University of California, San Francisco; Canadian Institutes of Health Research; Innovative Genomics Institute; National Institutes of Health; Abbott Laboratories; California Department of Public Health; Centers for Disease Control and Prevention","keywords":"Medicine; Hematologic malignancy; Coronavirus disease 2019 (COVID-19); Hematologic disease; Retrospective cohort study; Logistic regression; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Vaccination; Internal medicine; Cohort; Malignancy; Disease; Immunology; Virology; Infectious disease (medical specialty); Outbreak","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000470714,0.0001773248,0.0002451719,0.0003935789,0.0002582651,0.0004790497,0.0001849397,0.0003211256,0.001376617],"category_scores_gemma":[0.002280591,0.0001709349,0.0004114904,0.0004255035,0.0002132725,0.0003999864,0.0004491827,0.0006126643,0.0001233868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002921511,"about_ca_system_score_gemma":0.0002162709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003120559,"about_ca_topic_score_gemma":0.00367081,"domain_scores_codex":[0.9996144,0.00009727904,0.00004194703,0.00009492458,0.00004331503,0.0001082281],"domain_scores_gemma":[0.9988075,0.0002145088,0.0005947432,0.00006548577,0.00005498155,0.0002626863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002709269,0.00002132117,0.9989923,0.000004287179,0.00003014565,0.0000398809,0.00002802708,0.00002672604,0.000133993,0.00001023994,0.00002843038,0.0004137971],"study_design_scores_gemma":[0.000008556564,0.0002726733,0.9991869,0.000003755756,0.00001921236,0.0001172295,0.00009194437,0.0001501236,0.00006613316,0.00001206442,0.00006896476,0.000002382005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995953,0.0001088909,0.00001919929,0.000014217,0.00000409623,0.00000198227,0.00007580089,8.385625e-7,0.0001796528],"genre_scores_gemma":[0.9997913,0.00002663447,0.000009781218,0.00001117349,0.000004113837,0.000001192358,0.0001059371,5.158566e-7,0.00004920255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003120559,"threshold_uncertainty_score":0.006204844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03893348583761212,"score_gpt":0.3357828458300035,"score_spread":0.2968493599923914,"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."}}