← Back to cohort
Experimental Treatment with Favipiravir for Ebola Virus Disease (the JIKI Trial): A Historically Controlled, Single-Arm Proof-of-Concept Trial in Guinea
Daouda Sissoko, Cédric Laouenan, Elin Folkesson, Abdoul-Bing M’Lebing, Abdoul-Habib Beavogui, Sylvain Baize, Alseny-Modet Camara, Piet Maes, Susan Shepherd, Christine Danel, Sara Carazo, Mamoudou N. Conde, Jean‐Luc Gala, Géraldine Colin, Hélène Savini, Joseph Akoi Boré, Frédéric Le Marcis, Fara Raymond Koundouno, Frédéric Petitjean, Marie-Claire Lamah, Sandra Diederich, Alexis Tounkara, Geertrui Poelart, Emmanuel Berbain, Jean-Michel Dindart, Sophie Duraffour, Annabelle Lefevre, Tamba Leno, Olivier Peyrouset, Léonid M. Irenge, N’Famara Bangoura, Romain Palich, Julia Hinzmann, Annette Kraus, Thierno Sadou Barry, Sakoba Berette, André Bongono, Mohamed Seto Camara, Valérie Chanfreau Munoz, Lanciné Doumbouya, Souley Harouna, Patient Mumbere Kighoma, Fara Roger Koundouno, Réné Lolamou, Cécé Moriba Loua, Vincent Massala, Moumouni Kinda, Célia Provost, Nenefing Samake, Conde Sekou, Abdoulaye Soumah, Isabelle Arnould, Michel Saa Komano, Lina Gustin, Carlotta Berutto, Fodé Saydou Camara, Joliene Colpaert, Léontine Delamou, Lena Jansson, Etienne Kourouma, Maurice Loua, Kristian Nødtvedt Malme, Emma Manfrin, André Maomou, Adele Milinouno, Sien Ombelet, Aboubacar Youla Sidiboun, Isabelle Verreckt, Pauline Yombouno, Anne Bocquin, Caroline Carbonnelle, T. Carmoi, Pierre Frange, Stéphane Mély, Vinh‐Kim Nguyen, Delphine Pannetier, Anne‐Marie Taburet, Jean‐Marc Tréluyer, Jacques Seraphin Kolié, Raoul Moh, Minerva Cervantes Gonzalez, Eeva Kuisma, Britta Liedigk, Didier Ngabo, Martin Rudolf, Ruth Thom, Romy Kerber, Martin Gabriel, Antonino Di, Roman Wölfel, Jamal Badir, Mostafa Bentahir, Yann Deccache, Catherine Dumont, F. Durant, Karim El Bakkouri, Marie Gasasira Uwamahoro, Benjamin Smits, Nora Toufik, Stéphane Van Cauwenberghe, Khaled Ezzedine, Éric D’Ortenzio, Louis Pizarro, Aurélie Etienne, Jérémie Guedj, Alexandra Fizet, Eric Barte de Sainte Fare, Bernadette Murgue, Tuan Tran-Minh, C. Rapp, Pascal Piguet, Marc Poncin, Bertrand Draguez, Thierry Allaford Duverger, Solenne Barbe, Guillaume Baret, Isabelle Defourny, Miles W. Carroll, Hervé Raoul, Augustin Augier, Serge Eholié, Yazdan Yazdanpanah, Claire Lévy‐Marchal, Annick Antierrens, Michel Van Herp, Stephan Günther, Xavier de Lamballerie, Sakoba Keïta, France Mentré, Xavier Anglaret, Denis Malvy
Bibliographic record
VenuePLoS Medicine · 2016
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsUniversité de Montréal
FundersAgence Nationale de Sécurité du Médicament et des Produits de SantéUniversité Paris DescartesInstituut voor Tropische GeneeskundeEuropean CommissionAssistance publique-Hôpitaux de ParisAgence Nationale de la RechercheInstitut National de la Santé et de la Recherche MédicaleUniversity of OxfordStyrelsen för Internationellt Utvecklingssamarbete
KeywordsFavipiravirEbola virusMedicineContext (archaeology)Randomized controlled trialClinical trialIntensive care medicineSierra leoneDiseaseInternal medicineInfectious disease (medical specialty)Coronavirus disease 2019 (COVID-19)
Abstract
OpenAlex records an abstract for this work, but it could not be fetched just now.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.063
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.081
GPT teacher head0.344
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations486
Published2016
Admission routes1
Has abstractyes