{"id":"W3032768522","doi":"10.1136/esmoopen-2020-000825","title":"Cancer datasets and the SARS-CoV-2 pandemic: establishing principles for collaboration","year":2020,"lang":"en","type":"letter","venue":"ESMO Open","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; National Institute for Health and Care Research; Wellcome Trust","keywords":"Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Cancer; 2019-20 coronavirus outbreak; Geography; Virology; Medicine; Biology; Genetics; Outbreak","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006016326,0.0002337545,0.0006249594,0.00005728538,0.0002414948,0.0005366947,0.0004303013,0.0003312632,0.00003090536],"category_scores_gemma":[0.001494168,0.0001524291,0.00005004465,0.0001870658,0.0001031462,0.0003313238,0.0003620288,0.000934393,0.000007160932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002379473,"about_ca_system_score_gemma":0.002070241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01846764,"about_ca_topic_score_gemma":0.01188658,"domain_scores_codex":[0.9984726,0.0001239883,0.0003538378,0.0004630986,0.0002742416,0.0003122302],"domain_scores_gemma":[0.9982917,0.0007570717,0.0002566179,0.0004736067,0.0001440545,0.00007691271],"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":[0.0005488763,0.000005581722,0.0009719355,0.0008152696,0.00009091186,0.00007740351,0.0007380911,4.029606e-7,0.00003280938,0.00007889856,0.9944034,0.002236439],"study_design_scores_gemma":[0.003020034,0.00008938512,0.0008049367,0.0004296279,0.0002489838,0.0000211621,0.00006477688,0.0001560416,0.000136432,0.0002231412,0.994633,0.0001724569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008026901,0.0005523525,0.00007075241,0.9901641,0.0003811351,0.004322314,0.003246623,0.00003959639,0.0004204244],"genre_scores_gemma":[0.001745077,0.0007402559,0.0003690213,0.9859318,0.0033326,0.0005191428,0.006561824,0.0000549695,0.0007452785],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.006581061,"threshold_uncertainty_score":0.9880685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2181449384470365,"score_gpt":0.4651365985681501,"score_spread":0.2469916601211136,"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."}}