{"id":"W3116226081","doi":"10.25079/ukhjse.v4n2y2020.pp119-126","title":"Severity of Coronavirus Disease 2019 in Patients with Cancer","year":2020,"lang":"en","type":"article","venue":"UKH Journal of Science and Engineering","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Tocilizumab; Pandemic; Medicine; Disease; Outbreak; Coronavirus disease 2019 (COVID-19); Cancer; Coronavirus; Death toll; Intensive care medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Internal medicine; Infectious disease (medical specialty); Environmental health","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":[0.0003082232,0.0001682257,0.0003732131,0.0005634656,0.0003848466,0.000651109,0.0001422214,0.0003823216,0.002849655],"category_scores_gemma":[0.00159713,0.0001037471,0.000465339,0.0007882483,0.0001450826,0.0004528402,0.0004533277,0.000569723,0.0003871333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004385095,"about_ca_system_score_gemma":0.0004000518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001836549,"about_ca_topic_score_gemma":0.00274972,"domain_scores_codex":[0.9996241,0.00008765061,0.0000685634,0.00005468572,0.00007871538,0.00008620938],"domain_scores_gemma":[0.9994567,0.00006685926,0.0002475741,0.00001293792,0.00009979041,0.0001161083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004928671,0.00004840198,0.963213,0.0002824341,0.0001306854,0.001712009,0.0002887568,0.0000778124,0.001217115,0.0002071324,0.002606512,0.02972322],"study_design_scores_gemma":[0.00002093915,0.0003862498,0.9791517,0.0002597832,0.0001547808,0.007675547,0.001023605,0.0002406298,0.0003605942,0.0003461691,0.01034943,0.00003058687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264126,0.04379709,0.0006525689,0.002944196,0.0003686967,0.0001529676,0.002172657,0.00004299172,0.02345614],"genre_scores_gemma":[0.9890904,0.007491614,0.0002851718,0.0005437522,0.0002729294,0.00003190543,0.001218554,0.000005677849,0.001060012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002849655,"threshold_uncertainty_score":0.009533107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03732677402284441,"score_gpt":0.331614136699925,"score_spread":0.2942873626770806,"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."}}