{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001126931,0.0001590446,0.0003109555,0.00001239754,0.0005875218,0.00007165998,0.0004513737,0.000111707,0.000159519],"category_scores_gemma":[0.001348755,0.00008881027,0.0001452793,0.0004676475,0.0002947348,0.0001192255,0.0003128871,0.000831746,0.00005070408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006315647,"about_ca_system_score_gemma":0.0008703891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001569074,"about_ca_topic_score_gemma":0.00090074,"domain_scores_codex":[0.9973788,0.0002550583,0.0006099252,0.0004525781,0.0006003286,0.0007033196],"domain_scores_gemma":[0.9975876,0.001343,0.0001593299,0.0005659972,0.0001725272,0.0001715473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001862777,0.0001616936,0.8006486,0.0006013312,0.00007532306,0.0003693638,0.04884915,0.00001612235,0.007417371,0.0001357321,0.02717921,0.1126833],"study_design_scores_gemma":[0.004842291,0.001049605,0.3486198,0.001787986,0.0001384744,0.000151251,0.02198472,0.001688886,0.01088062,0.001923726,0.6063722,0.0005604491],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755424,0.004487973,0.0003372408,0.01643321,0.0003608072,0.0007534238,0.00001506816,0.00007061088,0.001999287],"genre_scores_gemma":[0.9705562,0.00118636,0.0001730209,0.02687632,0.001073528,0.0000671833,0.000001023056,0.00002006452,0.00004632254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5791929,"threshold_uncertainty_score":0.4518802,"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."}}