{"id":"W3013700205","doi":"10.1016/j.ctro.2020.03.009","title":"COVID-19: Global radiation oncology’s targeted response for pandemic preparedness","year":2020,"lang":"en","type":"article","venue":"Clinical and Translational Radiation Oncology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":243,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Institute for Health and Care Research","keywords":"Pandemic; Workforce; Coronavirus disease 2019 (COVID-19); Preparedness; Medicine; Radiation oncology; Workload; Work (physics); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Outbreak; Political science; Radiation therapy; Management; Virology; Infectious disease (medical specialty); Pathology; Engineering; Internal medicine","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":[0.01633961,0.001326675,0.0006926988,0.0014347,0.00427499,0.007371709,0.002569663,0.01271147,0.06288043],"category_scores_gemma":[0.02880688,0.0005608444,0.001487895,0.001214596,0.002560458,0.005649147,0.0156375,0.0130902,0.01576329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005267726,"about_ca_system_score_gemma":0.02485899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007592855,"about_ca_topic_score_gemma":0.01213397,"domain_scores_codex":[0.9914835,0.00287556,0.0004443516,0.0004212478,0.002652855,0.002122423],"domain_scores_gemma":[0.9689897,0.006618672,0.001169883,0.001294101,0.005592753,0.01633481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004923083,0.00006131809,0.0007975197,0.0003466518,0.0000143036,0.0001131973,0.0005094478,0.0001272029,0.0004581662,0.005599281,0.9553847,0.03653908],"study_design_scores_gemma":[0.00002116606,0.00008060539,0.0009924939,0.0002433299,0.000008039194,0.00006262349,0.000624372,0.00008686214,0.0002548656,0.001743975,0.9958605,0.00002119646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004007669,0.01368469,0.003834993,0.7524804,0.09075799,0.0008829084,0.004631111,0.001806096,0.1279141],"genre_scores_gemma":[0.08209587,0.0231769,0.02363144,0.6442453,0.03753911,0.001973778,0.01123856,0.002660024,0.173439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06288043,"threshold_uncertainty_score":0.210356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2067252397974753,"score_gpt":0.5398552622552217,"score_spread":0.3331300224577464,"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."}}