{"id":"W2888624919","doi":"10.1101/401315","title":"Repurposing of drugs as novel influenza inhibitors from clinical gene expression infection signatures","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; Université Claude Bernard Lyon 1; Ministère des Affaires Sociales et de la Santé; Université Laval; Direction Générale de l’offre de Soins; Institut National de la Santé et de la Recherche Médicale","keywords":"Repurposing; Drug repositioning; Virus; In vivo; Context (archaeology); Oseltamivir; Ex vivo; Influenza A virus; Biology; Virology; Pharmacology; Medicine; Drug; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Internal medicine","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":[0.0002449761,0.0007742351,0.0009777811,0.0006095379,0.0001942719,0.0006782454,0.0004306158,0.0002766241,0.00311017],"category_scores_gemma":[0.0003543392,0.0001942739,0.001226638,0.0003872979,0.0001888718,0.0002887586,0.0003020453,0.0003765262,0.0006407605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003321955,"about_ca_system_score_gemma":0.0007789581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006034396,"about_ca_topic_score_gemma":0.0011438,"domain_scores_codex":[0.9998839,0.00002146831,0.000008423684,0.00002807271,0.00003880282,0.00001918256],"domain_scores_gemma":[0.9999124,0.00003355754,0.00002107704,0.00000716985,0.00001608189,0.000009643736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002669091,0.0009286264,0.02432439,0.00281249,0.0007752485,0.001490637,0.00008056885,0.3383741,0.4067005,0.006394804,0.0052083,0.2102413],"study_design_scores_gemma":[0.0004457751,0.003401022,0.01147467,0.0001436952,0.00111545,0.0008193161,0.0001187064,0.8387914,0.1174919,0.005472335,0.02064561,0.00008012103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8909908,0.006581725,0.0863332,0.000463713,0.0001066186,0.0005424364,0.004168091,0.001299087,0.009514229],"genre_scores_gemma":[0.9249547,0.003437516,0.0608899,0.0002993851,0.0000552968,0.0004672486,0.007161803,0.0001456904,0.002588493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00311017,"threshold_uncertainty_score":0.01040453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05891530300652779,"score_gpt":0.3545240256574766,"score_spread":0.2956087226509488,"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."}}