{"id":"W3090447430","doi":"10.1016/j.ccell.2020.10.002","title":"Supporting Clinical Decision-Making during the SARS-CoV-2 Pandemic through a Global Research Commitment: The TERAVOLT Experience","year":2020,"lang":"en","type":"article","venue":"Cancer Cell","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Pharmacyclics; Merck Sharp and Dohme; EMD Serono; PharmaMar; Angelini Pharma; Astellas Pharma; Pfizer; Incyte; Clovis Oncology; Regeneron Pharmaceuticals; AbbVie; Merck; Spectrum Pharmaceuticals; Exelixis; Meso Scale Diagnostics; Sanofi; International Association for the Study of Lung Cancer; Celgene; Novartis; GlaxoSmithKline; Daiichi Sankyo Europe; Bayer; AstraZeneca; Canadian Asian Studies Association; Bristol-Myers Squibb; Eli Lilly and Company; Boehringer Ingelheim; Amgen; Roche; Foundation Medicine; Astellas Pharma US","keywords":"Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Virology; Clinical decision making; Sars virus; Biology; Medicine; Intensive care medicine; Infectious disease (medical specialty); Disease; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.07977284,0.000567907,0.0008302163,0.0008987752,0.005231087,0.01928213,0.002095381,0.007177912,0.01370352],"category_scores_gemma":[0.0829117,0.0005427478,0.0008762397,0.001403609,0.009847313,0.007586125,0.0151211,0.02595401,0.002026187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009048506,"about_ca_system_score_gemma":0.05742394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007422557,"about_ca_topic_score_gemma":0.01977354,"domain_scores_codex":[0.9584921,0.03083772,0.001064086,0.001191962,0.003247805,0.005166312],"domain_scores_gemma":[0.8543416,0.07092787,0.007336913,0.005891806,0.01215655,0.04934514],"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":[0.001942682,0.001580764,0.02516508,0.00104975,0.0005625089,0.003610315,0.03342308,0.003489234,0.002794415,0.1303068,0.4339069,0.3621685],"study_design_scores_gemma":[0.0008353831,0.001264531,0.01027647,0.002518866,0.0001875384,0.001023398,0.06850848,0.0009788745,0.001411,0.07733075,0.835441,0.0002237799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02743028,0.006916558,0.001227744,0.9319034,0.004738563,0.00006061176,0.0001580505,0.00005505963,0.02750975],"genre_scores_gemma":[0.6011852,0.02859311,0.01113125,0.3361287,0.01038435,0.0002396702,0.0006330815,0.0003903767,0.01131435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07977284,"threshold_uncertainty_score":0.4218842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3455376983618337,"score_gpt":0.5961312193172865,"score_spread":0.2505935209554528,"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."}}