{"id":"W4391954076","doi":"10.1002/cncr.35247","title":"The impact of cancer metastases on COVID‐19 outcomes: A COVID‐19 and Cancer Consortium registry‐based retrospective cohort study","year":2024,"lang":"en","type":"article","venue":"Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University; Jewish General Hospital","funders":"Genentech; National Institutes of Health; National Center for Advancing Translational Sciences; Seagen; Flatiron Health; Calithera Biosciences; Incyte; Eisai; National Comprehensive Cancer Network; Vanderbilt University Medical Center; Sanofi; Exelixis; National Cancer Institute; Genomic Health; Vanderbilt University; Leukemia and Lymphoma Society; Bristol-Myers Squibb; AstraZeneca; Pfizer; Vanderbilt Institute for Clinical and Translational Research; National Geographic Society; EMD Serono; Roswell Park Cancer Institute","keywords":"Medicine; Odds ratio; Cancer; Internal medicine; Confidence interval; Intensive care unit; Lung cancer; Retrospective cohort study; Metastasis; Logistic regression; Cohort; Brain metastasis; Oncology","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":[0.002603424,0.0004552085,0.000637556,0.001186147,0.0007555053,0.001365567,0.0007244356,0.0005468693,0.001486924],"category_scores_gemma":[0.005703738,0.0006030282,0.0009251597,0.002894651,0.0004909729,0.0007943416,0.001339015,0.0009718414,0.0002141573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007496622,"about_ca_system_score_gemma":0.001144784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01506116,"about_ca_topic_score_gemma":0.01564053,"domain_scores_codex":[0.9976295,0.0007849032,0.000270125,0.0006306068,0.0003354842,0.000349419],"domain_scores_gemma":[0.9935301,0.0008447308,0.002862499,0.001051535,0.0007530845,0.0009580986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001587633,0.00002510578,0.9988397,0.00001162527,0.000144578,0.00006554361,0.00004964492,0.0000402285,0.00005250909,0.00002797984,0.0002559498,0.0003283328],"study_design_scores_gemma":[0.0000443274,0.0001235959,0.9980071,0.00001978627,0.0001870499,0.0003092075,0.0002814964,0.0004144687,0.00006689695,0.00003164373,0.0004994476,0.00001504653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966443,0.0002809667,0.000238349,0.00006020552,0.00001270142,0.00003688019,0.002352207,0.000005282644,0.0003693045],"genre_scores_gemma":[0.9979051,0.0001349931,0.0001426996,0.00004363966,0.00001458397,0.00004289771,0.001621838,0.000004778628,0.00008949821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01506116,"threshold_uncertainty_score":0.02994698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09241109242794933,"score_gpt":0.4987039732374301,"score_spread":0.4062928808094808,"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."}}