{"id":"W3024270013","doi":"10.1016/j.ccell.2020.05.008","title":"TERAVOLT: Thoracic Cancers International COVID-19 Collaboration","year":2020,"lang":"en","type":"article","venue":"Cancer Cell","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Foundation Medicine; Genentech; National Institutes of Health; European Society for Medical Oncology; Astellas Pharma; Clovis Oncology; Regeneron Pharmaceuticals; Boehringer Ingelheim; National Center for Advancing Translational Sciences; Roche; EMD Serono; International Association for the Study of Lung Cancer; Novartis; Daiichi Sankyo Europe; Sanofi; Merck; Spectrum Pharmaceuticals; Pfizer; Celgene; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Population; Cancer; Pandemic; Intensive care medicine; Internal medicine; Oncology; Pathology; Environmental health; Disease; Infectious disease (medical specialty)","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":[0.00007744892,0.0001149385,0.000178749,0.00003969948,0.00007092164,0.00003160099,0.00009678783,0.00007389337,0.002460174],"category_scores_gemma":[0.0002144608,0.0001090482,0.00004605459,0.0002581607,0.00003274521,0.0001253888,0.00002589431,0.0001470038,0.00006548748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002282165,"about_ca_system_score_gemma":0.004696348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003335021,"about_ca_topic_score_gemma":0.001565566,"domain_scores_codex":[0.9990423,0.00002581686,0.0001927466,0.0002683489,0.000272963,0.0001978148],"domain_scores_gemma":[0.9988329,0.00004573944,0.00008559446,0.0001386149,0.0001660521,0.0007310506],"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":[0.004188083,0.0001650912,0.1102861,0.00444472,0.0002136812,0.000363726,0.03248916,0.003268888,0.0630984,0.0003912683,0.7225711,0.05851986],"study_design_scores_gemma":[0.00131783,0.0002083363,0.003668892,0.00005206592,0.00005157207,0.000003939626,0.0008705703,0.00175362,0.006201929,0.00002818643,0.9856925,0.000150586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2327026,0.009483368,0.004395035,0.7148946,0.003456514,0.001719149,0.0005090972,0.0004784941,0.03236117],"genre_scores_gemma":[0.8732866,0.001091679,0.0001569306,0.1230413,0.001119847,0.00004200933,0.00006770631,0.00001912577,0.001174851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.640584,"threshold_uncertainty_score":0.9984517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1008768276350458,"score_gpt":0.4604014410324462,"score_spread":0.3595246133974004,"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."}}