MétaCan
Menu
Back to cohort
Record W4386798604 · doi:10.1038/s41597-023-02502-7

Whole genomes from bacteria collected at diagnostic units around the world 2020

2023· article· en· W4386798604 on OpenAlexaff
Sidsel Nag, Gunhild Larsen, Judit Szarvas, Laura Elmlund Kohl Birkedahl, Gábor Gulyás, Wojchiech Jakub Ciok, Timmie Mikkel Lagermann, Silva Tafaj, Susan Bradbury, Peter Collignon, Denise A Daley, Victorien Dougnon, Kafayath Fabiyi, Boubacar Coulibaly, Réné Dembelé, Georgette Nikiema, Natama Magloire, Isidore Juste Ouindgueta, Zenat Zebin Hossain, Anowara Begum, Deyan Donchev, Mathew Diggle, LeeAnn Turnbull, Simon Lévesque, Livia Berlinger, Kirstine K. Søgaard, Paula Díaz, Carolina Duarte Valderrama, Panagiota Maikanti, Jana Amlerová, Pavel Dřevı́nek, Jan Tkadlec, Milica Dilas, Achim J. Kaasch, Henrik Westh, Mohamed Azzedine Bachtarzi, Wahiba Amhis, Carolina Elisabeth Satán Salazar, JoséEduardo Villacis, Mária Angeles Dominguez Lúzon, Dàmaris Berbel, Claire Duployez, Maxime Paluche, Solomon Asante-Sefa, M. Moller, Margaret Ip, Ivana Mareković, Ágnes Sonnevend, Clementiza Elvezia Cocuzza, Asta Dambrauskienė, Alexandre Macanze, Anélsio Cossa, Inácio Mandomando, Philip Nwajiobi-Princewill, Iruka N. Okeke, Aderemi Kehinde, Ini Adebiyi, Ifeoluwa Akintayo, Oluwafemi Popoola, Anthony Onipede, Anita Blomfeldt, Nora Elisabeth Nyquist, Kiri Bocker, James E. Ussher, Amjad Ali, Nimat Ullah, Habib Ullah Khan, Natalie Weiler Gustafson, Ikhlas Jarrar, Arif Al-Hamad, Viravarn Luvira, Wantana Paveenkittiporn, Irmak Baran, James Mwansa, Linda Sikakwa, Kaunda Yamba, René S. Hendriksen, Frank M. Aarestrup

Bibliographic record

VenueScientific Data · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsCentre Hospitalier Universitaire de Sherbrooke
FundersHorizon 2020 Framework ProgrammeNovo Nordisk FondenEuropean Commission
KeywordsGenomeBacteriaBiologyComputational biologyEvolutionary biologyGeneticsGene

Abstract

fetched live from OpenAlex

The Two Weeks in the World research project has resulted in a dataset of 3087 clinically relevant bacterial genomes with pertaining metadata, collected from 59 diagnostic units in 35 countries around the world during 2020. A relational database is available with metadata and summary data from selected bioinformatic analysis, such as species prediction and identification of acquired resistance genes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score0.573

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.259
Teacher spread0.219 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations9
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueScientific DataSame topicGenomics and Phylogenetic StudiesFrench-language works237,207