{"id":"W3112032086","doi":"10.1038/s41598-020-78697-1","title":"Identifying side effects of commonly used drugs in the treatment of Covid 19","year":2020,"lang":"en","type":"review","venue":"Scientific Reports","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Drug; Coronavirus disease 2019 (COVID-19); Pharmacology; Medicine; Side effect (computer science); Adverse effect; Intensive care medicine; Bioinformatics; Internal medicine; Computer science; Biology; Disease; Infectious disease (medical specialty)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003431991,0.0003808263,0.001649553,0.0005807466,0.0001435595,0.0003588706,0.001419142,0.0001064199,0.000003323687],"category_scores_gemma":[0.0006652295,0.0002557421,0.0007577893,0.002834173,0.0002764894,0.0002579536,0.0003113208,0.000176494,0.000008015632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003116632,"about_ca_system_score_gemma":0.002137798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001090906,"about_ca_topic_score_gemma":0.00002432288,"domain_scores_codex":[0.9938964,0.001571052,0.00169065,0.001205344,0.001331255,0.0003053025],"domain_scores_gemma":[0.9926482,0.003190482,0.001835232,0.002076463,0.00009524936,0.0001543342],"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":[0.000001793517,0.0004251131,0.00002304904,0.01221201,0.0001063683,0.001511591,0.01046499,0.0003517876,0.00001397607,0.001826963,0.0004844609,0.9725779],"study_design_scores_gemma":[0.0001962921,0.000116219,0.0000339481,0.00284045,0.000217049,0.0003585696,0.00006557303,0.0006740663,0.0002007373,0.01423224,0.9807573,0.0003075349],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003908649,0.9742292,0.01794306,0.0001076224,0.005138692,0.001889582,0.000007400234,0.00004654455,0.0002470711],"genre_scores_gemma":[0.003002964,0.9759363,0.01990671,0.00005547015,0.0001422536,0.00039915,0.0001910459,0.00006152388,0.0003045646],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9802728,"threshold_uncertainty_score":0.9999895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08406396095113058,"score_gpt":0.3940224765231626,"score_spread":0.309958515572032,"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."}}