{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01438733,0.0008349359,0.001331713,0.002679571,0.002411457,0.007045278,0.002224394,0.003393476,0.08196665],"category_scores_gemma":[0.02467652,0.0004426482,0.001830383,0.003644117,0.0008826937,0.002930459,0.009862551,0.00739971,0.01827641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007528752,"about_ca_system_score_gemma":0.04361667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01256891,"about_ca_topic_score_gemma":0.01763937,"domain_scores_codex":[0.990812,0.002157226,0.0008830428,0.0008129776,0.003314596,0.002020068],"domain_scores_gemma":[0.9554837,0.004924213,0.003925738,0.001565904,0.01123606,0.02286437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004269623,0.0001053164,0.005531579,0.0003999435,0.0001236062,0.0000912098,0.0001079582,0.0001824884,0.0001790246,0.009949467,0.8997086,0.0831937],"study_design_scores_gemma":[0.0001636543,0.00008050859,0.00264022,0.000745263,0.00007900602,0.0001357677,0.0001920587,0.00008806953,0.000253978,0.001775051,0.9938282,0.00001823885],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01017559,0.05554638,0.002217356,0.5073792,0.04575794,0.0005921734,0.06054981,0.0008345268,0.3169471],"genre_scores_gemma":[0.1612561,0.09971763,0.01796687,0.193794,0.03705628,0.002387829,0.1660394,0.00297076,0.3188111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08196665,"threshold_uncertainty_score":0.2742057,"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."}}