{"id":"W3087594404","doi":"10.1016/j.ejca.2020.09.014","title":"Repurposing anticancer drugs for the management of COVID-19","year":2020,"lang":"en","type":"review","venue":"European Journal of Cancer","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Repurposing; Drug repositioning; Coronavirus disease 2019 (COVID-19); Medicine; Pandemic; Clinical trial; Intensive care medicine; Drug; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Scope (computer science); Pharmacology; Outbreak; Disease; Infectious disease (medical specialty); Virology; Internal medicine; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003591901,0.0002814777,0.00190677,0.0001363241,0.0001114455,0.00002643272,0.0006169395,0.00003488485,0.0001596458],"category_scores_gemma":[0.005996736,0.0001505167,0.001264432,0.0003941345,0.0002683038,0.00003613893,0.0003202888,0.0007474368,0.00001047479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005207409,"about_ca_system_score_gemma":0.001739126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007234704,"about_ca_topic_score_gemma":5.669107e-7,"domain_scores_codex":[0.9964653,0.0004498371,0.001560018,0.0002875283,0.0009485479,0.0002887416],"domain_scores_gemma":[0.9928244,0.004347482,0.001565479,0.0004171807,0.000440964,0.0004045122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002718346,0.00003381028,0.000005096048,0.0611945,0.003302741,0.000464887,0.0001877467,0.00001812998,3.644447e-7,0.00006378179,0.01142857,0.9230285],"study_design_scores_gemma":[0.001252307,0.0004166244,0.00002200575,0.02650063,0.005762435,0.00001196417,0.00007534389,0.000009744575,8.117619e-7,0.00001393168,0.9658133,0.0001208589],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.19383e-7,0.9834098,0.00298055,0.01070248,0.0004631018,0.001227802,0.00004817159,0.00001012797,0.001157586],"genre_scores_gemma":[0.00003406918,0.9941823,0.0008163071,0.002126335,0.001417354,0.00003057984,0.000001788364,0.00008074897,0.001310492],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9543848,"threshold_uncertainty_score":0.7179086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1866784525071857,"score_gpt":0.5322897284930083,"score_spread":0.3456112759858226,"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."}}