{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.08887209,0.0007523441,0.002892731,0.00917712,0.002512113,0.01107977,0.006912959,0.01229137,0.0257733],"category_scores_gemma":[0.4527506,0.00144346,0.00218455,0.009591697,0.004069011,0.015306,0.01428992,0.01514003,0.00940786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003412284,"about_ca_system_score_gemma":0.01516368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00326683,"about_ca_topic_score_gemma":0.006346034,"domain_scores_codex":[0.9268799,0.04392402,0.01198581,0.004685025,0.01043656,0.002088679],"domain_scores_gemma":[0.5732158,0.2846594,0.02760091,0.02692427,0.06350552,0.02409413],"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":[0.0001089835,0.00001370628,0.001497844,0.001486655,0.0001976276,0.0001277764,0.0005320521,0.00009742338,0.00002859458,0.005579505,0.9437487,0.04658113],"study_design_scores_gemma":[0.00006109238,0.00002420669,0.001326967,0.006015969,0.00009860972,0.0001539314,0.0004754249,0.0002968224,0.00004450945,0.009172226,0.9822718,0.00005852677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005325584,0.02047714,0.003207474,0.9240625,0.04070076,0.0001635529,0.006634219,0.00048184,0.003739976],"genre_scores_gemma":[0.02309938,0.06936659,0.03390388,0.6401952,0.2034497,0.002182564,0.01881234,0.002191201,0.006799215],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9930871,"threshold_uncertainty_score":0.4700062,"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."}}