{"id":"W3034965161","doi":"10.1016/s1470-2045(20)30314-4","title":"COVID-19 in patients with thoracic malignancies (TERAVOLT): first results of an international, registry-based, cohort study","year":2020,"lang":"en","type":"article","venue":"The Lancet Oncology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":624,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Foundation Medicine; Merck Sharp and Dohme; Bristol-Myers Squibb Canada; Grifols; PharmaMar; Otsuka Pharmaceutical; Eisai; Institut National de la Santé et de la Recherche Médicale; G1 Therapeutics; Clovis Oncology; Les Laboratories Pierre Fabre; Regeneron Pharmaceuticals; Takeda Pharmaceutical Company; AbbVie; Samsung; Bristol-Myers Squibb; European Respiratory Society; Merck; Spectrum Pharmaceuticals; Bayer; Gilead Sciences; Celgene; Novartis; Exelixis; Sanofi; Roche Italia; GlaxoSmithKline; Pfizer; Incyte; Stanford University; Amgen; AstraZeneca; Eli Lilly and Company","keywords":"Medicine; Lung cancer; Internal medicine; Cohort; Cancer registry; Pneumonia; Odds ratio; Population; Cancer; Comorbidity; Stage (stratigraphy)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001676491,0.0004717642,0.0005412503,0.0006706758,0.0006582651,0.002006589,0.0006989607,0.000745701,0.00259692],"category_scores_gemma":[0.005127362,0.0005181373,0.001177049,0.00268784,0.0003819662,0.001168041,0.001570482,0.001806716,0.0005564767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000626518,"about_ca_system_score_gemma":0.0007064766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008112606,"about_ca_topic_score_gemma":0.01067891,"domain_scores_codex":[0.9987644,0.0002783724,0.0001310883,0.0003405601,0.0001760947,0.0003094867],"domain_scores_gemma":[0.9963647,0.0004109996,0.001733689,0.0006762684,0.0002879976,0.0005264739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006133499,0.00004848796,0.9956641,0.00002648375,0.000354526,0.000076984,0.00007088218,0.00004188694,0.0001332461,0.0001189327,0.001099718,0.001751467],"study_design_scores_gemma":[0.0001549545,0.0002337925,0.9958905,0.00005590745,0.0005113584,0.0003808645,0.0004796183,0.0001688285,0.0001019816,0.0001559633,0.001844185,0.00002194894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860483,0.001668666,0.0002861817,0.0004710736,0.00009701806,0.00004137503,0.009550187,0.00001215918,0.001824995],"genre_scores_gemma":[0.9909705,0.001004448,0.0003015245,0.0002159278,0.00009087958,0.00005020039,0.006840934,0.00001757701,0.0005081484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008112606,"threshold_uncertainty_score":0.01613081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1039156265003176,"score_gpt":0.4302376282052922,"score_spread":0.3263220017049746,"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."}}