{"id":"W3014200667","doi":"10.1038/s41571-020-0362-6","title":"Cancer, COVID-19 and the precautionary principle: prioritizing treatment during a global pandemic","year":2020,"lang":"en","type":"review","venue":"Nature Reviews Clinical Oncology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":415,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"University of Toronto; King's College London; Queen's University; Ontario Institute for Cancer Research; Government of Canada; Government of Ontario","keywords":"Pandemic; Medicine; Coronavirus disease 2019 (COVID-19); Precautionary principle; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Cancer; Intensive care medicine; Virology; Disease; Infectious disease (medical specialty); Pathology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0036137,0.0008049876,0.009555164,0.00008247375,0.0002832011,0.00002388162,0.000349736,0.003241631,0.00008228229],"category_scores_gemma":[0.01984289,0.0004109085,0.002035344,0.0006617623,0.0005813439,0.00004677467,0.0003312462,0.004267674,0.00006500514],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007219453,"about_ca_system_score_gemma":0.02085164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001778132,"about_ca_topic_score_gemma":0.000525151,"domain_scores_codex":[0.9907269,0.003689504,0.003316935,0.001266479,0.0003600296,0.0006401459],"domain_scores_gemma":[0.9883038,0.007144318,0.001886411,0.0008189215,0.000108195,0.001738295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005940365,0.0001767747,0.001158481,0.04878152,0.0005089864,0.0004331594,0.00005379716,3.303059e-8,2.284377e-8,0.0004661317,0.001429052,0.946398],"study_design_scores_gemma":[0.005935324,0.00111234,0.001014917,0.01329431,0.005683504,0.001953262,0.000004910083,0.000002972192,4.566426e-9,0.00007516927,0.9706162,0.0003070867],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001961719,0.9601295,0.000005754946,0.02953553,0.00120849,0.008458667,0.0001595616,0.0001309178,0.0003519402],"genre_scores_gemma":[0.00002132761,0.9699875,0.0002897336,0.02477934,0.003461229,0.001028024,0.0001036789,0.00004927445,0.0002799566],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9691871,"threshold_uncertainty_score":0.9998343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4026145901668752,"score_gpt":0.6490970795603621,"score_spread":0.2464824893934869,"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."}}