MétaCan
Menu
← Back to cohort
Record W4386687478 · doi:10.7554/elife.85867.sa2

Author response: Global diversity and antimicrobial resistance of typhoid fever pathogens: Insights from a meta-analysis of 13,000 Salmonella Typhi genomes

2023· peer-review· en· W4386687478 on OpenAlexaff
Megan E. Carey, Zoe A. Dyson, Danielle J. Ingle, Afreenish Amir, Mabel Kamweli Aworh, Ka Lip Chew, John A. Crump, Nicholas Feasey, Benjamin P. Howden, Karen H. Keddy, Mailis Maes, Christopher M. Parry, Sandra Van Puyvelde, Hattie E. Webb, Ayorinde O. Afolayan, Anna P. Alexander, Shalini Anandan, Jason R. Andrews, Philip Ashton, Buddha Basnyat, Ashish Bavdekar, Isaac I. Bogoch, John D. Clemens, Késia Esther da Silva, Anuradha De, Joep de Ligt, Paula Díaz, Christiane Dolecek, Shanta Dutta, Marthie M. Ehlers, Louise Francois Watkins, Denise O. Garrett, Gauri Godbole, Melita A. Gordon, Andrew R. Greenhill, Chelsey Griffin, Madhu Gupta, René S. Hendriksen, Robert S. Heyderman, Yogesh Hooda, Juan Carlos Hormazábal, Odion O. Ikhimiukor, Junaid Iqbal, Jobin John Jacob, Claire Jenkins, Dasaratha Ramaiah Jinka, Jacob John, Gagandeep Kang, Abdoulie Kanteh, Arti Kapil, Abhilasha Karkey, Samuel Kariuki, Robert A. Kingsley, Roshine Mary Koshy, A.C. Lauer, Myron M. Levine, Ravikumar Kadahalli Lingegowda, Stephen P. Luby, Grant Mackenzie, Tapfumanei Mashe, Chisomo Msefula, Ankur Mutreja, Geetha Nagaraj, Savitha Nagaraj, Satheesh Nair, Take Naseri, Susana Nimarota-Brown, Elisabeth Njamkepo, Iruka N. Okeke, Sulochana Putli Bai Perumal, Andrew J. Pollard, Agila Kumari Pragasam, Firdausi Qadri, Farah Naz Qamar, Sadia Rahman, Savitra Rambocus, David A. Rasko, Pallab Ray, Roy M. Robins‐Browne, Temsunaro Rongsen‐Chandola, Jean Pierre Rutanga, Samir K. Saha, Senjuti Saha, Karnika Saigal, Mohammad Saiful Islam Sajib, Jessica C. Seidman, Jivan Shakya, Varun Shamanna, Jayanthi Shastri, Rajeev Shrestha, Sonia Sia, Michael J. Sikorski, Ashita Singh, Anthony M. Smith, Kaitlin A. Tagg, Dipesh Tamrakar, Arif Mohammad Tanmoy, Maria Thomas, Mathew S Thomas, Robert Thomsen, Nicholas R. Thomson, Siaosi Tupua, Krista Vaidya, Mary Valcanis, Balaji Veeraraghavan, François‐Xavier Weill, Jackie Wright, Gordon Dougan, Silvia Argimón, Jacqueline A. Keane, David M. Aanensen, Stephen Baker, Kathryn E. Holt

Bibliographic record

Venuenot available
Typepeer-review
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsInstitute of Infection and ImmunityUniversity of Toronto
Fundersnot available
KeywordsTyphoid feverSalmonella typhiSalmonellaBiologyAntimicrobialAntibiotic resistanceGenomeDiversity (politics)VirologyMicrobiologyGeneticsBacteriaAntibioticsSociologyGeneAnthropology

Abstract

fetched live from OpenAlex

An analysis of the largest Salmonella Typhi genome collection to date (n=13,000) provides an updated overview of global genome diversity and antimicrobial resistance trends over time to inform public health action.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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)0.092
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.110
Threshold uncertainty score0.366

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.092
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.1100.039

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 head0.122
GPT teacher head0.304
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicSalmonella and Campylobacter epidemiology→French-language works237,207→