{"id":"W4211248590","doi":"10.1097/01.cot.0000822048.62148.aa","title":"COVID-19 Mortality Risks for Patients With Hematologic Malignancies","year":2022,"lang":"en","type":"article","venue":"Oncology Times","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Medicine; Hematologic Neoplasms; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Intensive care medicine; Internal medicine; Cancer; Disease; Outbreak; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004750454,0.0001438431,0.0004619717,0.0001041361,0.0004200734,0.000005589276,0.0001072769,0.0001023879,0.001704013],"category_scores_gemma":[0.001133203,0.0001106476,0.00008070734,0.0001694159,0.0001338796,0.0000377964,0.00009229679,0.000221416,0.00001636658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009881189,"about_ca_system_score_gemma":0.003078233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005355541,"about_ca_topic_score_gemma":0.0001659727,"domain_scores_codex":[0.9986547,0.0001445311,0.0002496563,0.0003115319,0.0002568522,0.000382694],"domain_scores_gemma":[0.9983916,0.0006168552,0.0001660289,0.0002825095,0.0001150918,0.0004279169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001628743,0.000955884,0.9040303,0.0004701041,0.000124896,0.0001543142,0.0008086081,0.00004541503,0.00003013497,0.001563565,0.08871551,0.001472567],"study_design_scores_gemma":[0.005805338,0.008287747,0.4116014,0.00001344697,0.0002164575,0.00009860315,0.0005565983,0.00005219485,0.00004426816,0.001568045,0.5715631,0.0001928006],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693014,0.0002504661,0.0003259546,0.02457527,0.0002731507,0.001744992,0.0002160356,0.0001682971,0.003144446],"genre_scores_gemma":[0.9669271,0.00001362242,0.0008746693,0.02958376,0.00005995392,0.0004547476,0.0001886777,0.00001942549,0.001878015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4924289,"threshold_uncertainty_score":0.9992086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1305860639536502,"score_gpt":0.4470098163423916,"score_spread":0.3164237523887414,"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."}}