{"id":"W4212840501","doi":"10.1093/ofid/ofac037","title":"Coinfections in Patients With Cancer and COVID-19: A COVID-19 and Cancer Consortium (CCC19) Study","year":2022,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"National Center for Advancing Translational Sciences; National Institute of General Medical Sciences; National Institutes of Health; National Cancer Institute; National Institute on Aging; Vanderbilt Institute for Clinical and Translational Research","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Cancer; Betacoronavirus; Coinfection; Coronavirus Infections; Virology; Internal medicine; Virus; Outbreak; Disease","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002421335,0.0002769287,0.0005325433,0.0003460424,0.001191647,0.0001309794,0.0001188516,0.00004793796,0.001280139],"category_scores_gemma":[0.0007283869,0.0002445489,0.00004339516,0.0006327914,0.0001791834,0.0002593767,0.0004838974,0.0003157503,0.000002093355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813801,"about_ca_system_score_gemma":0.004943835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1366793,"about_ca_topic_score_gemma":0.08356679,"domain_scores_codex":[0.9979326,0.0002104353,0.0003356096,0.00062884,0.0003951819,0.0004973271],"domain_scores_gemma":[0.9975297,0.0002923496,0.0001757662,0.0003334513,0.0001018243,0.001566873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00158866,0.002075442,0.9850779,0.000320079,0.000155138,0.000086646,0.001171327,0.0005432753,0.000001001713,0.0001044426,0.006657809,0.002218332],"study_design_scores_gemma":[0.01550405,0.003055648,0.9388014,0.00004652112,0.0003295896,0.00003516179,0.001877246,0.00004973231,7.159719e-7,0.0001938356,0.03979981,0.0003062539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809574,0.001219643,0.00002588172,0.01118575,0.0002021241,0.004854152,0.0009858293,0.0001238594,0.0004453826],"genre_scores_gemma":[0.9628771,0.0002736971,0.000002558954,0.0339732,0.00003509986,0.002421226,0.00007534209,0.00004201934,0.0002997807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05311251,"threshold_uncertainty_score":0.9996328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03785964063794054,"score_gpt":0.3982938431606958,"score_spread":0.3604342025227553,"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."}}