MétaCan
Menu
Back to cohort
Record W4386590727 · doi:10.1002/eji.202370300

Joint Conference of the Société Française d'Immunologie (SFI) and the Deutsche Gesellschaft für Immunologie (DGfI), 26–29 September, 2023, Strasbourg, France

2023· article· de· W4386590727 on OpenAlexfundno aff
Armelle Guingand, Adrien Trolet, Dorothee Daniel, Richard Wagner, Vincent Flacher, Christophe Ritzenthaler, Vianney Poignavent, Hélène Dumortier

Bibliographic record

VenueEuropean Journal of Immunology · 2023
Typearticle
Languagede
FieldHealth Professions
TopicPediatric health and respiratory diseases
Canadian institutionsnot available
FundersFaculty of Medicine and Health, University of SydneyUniversity of Illinois at ChicagoUniversity of Illinois at Urbana-ChampaignUniversité de ParisHumboldt-Universität zu BerlinUniversité Hassan II de CasablancaAgence Nationale de la RechercheAssistance publique-Hôpitaux de ParisCentre Hospitalier Universitaire de BordeauxUniversitätsklinikum ErlangenUniversität UlmJulius-Maximilians-Universität WürzburgMedizinische Fakultät der Albert-Ludwigs-Universität FreiburgFreie Universität BerlinUniversidade do PortoUniversité de BordeauxSorbonne UniversitéUniversité de GenèveDeutsches Zentrum für InfektionsforschungRadboud Universitair Medisch CentrumInstitut Gustave-RoussyVedecká Grantová Agentúra MŠVVaŠ SR a SAVMidwestern UniversityMedizinischen Hochschule HannoverWestfälische Wilhelms-Universität MünsterUniversity of OxfordUniversité de ToulouseUniversité Paris-SaclayUniversité de StrasbourgÉcole Normale Supérieure de LyonInstitut National de la Santé et de la Recherche MédicaleAssistance Publique - Hôpitaux de ParisQueen Mary University of LondonNational Institute for Health and Care ResearchInstitut des maladies génétiques ImagineInstitut Necker-Enfants MaladesUniversité Mohammed V de RabatCentre Hospitalier Régional Universitaire de MontpellierUniversità degli Studi di SienaUniversity of RochesterCentre for Engineering Research and DevelopmentUniversity of Dar es SalaamRadboud UniversiteitCentro Hospitalar Universitário do PortoAlbert-Ludwigs-Universität FreiburgUniversité de SherbrookeUniversity Hospitals Birmingham NHS Foundation TrustUniversität BaselCentre National de la Recherche ScientifiqueUniverzita Karlova v PrazeUniversité Claude Bernard Lyon 1Sanofi
KeywordsLibrary scienceHumanitiesPhilosophyComputer science

Abstract

fetched live from OpenAlex

function to look, for example, for the abstract number or author name.

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)0.006
metaresearch head score (Gemma)0.006
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 score0.061
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0610.015

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 head0.069
GPT teacher head0.354
Teacher spread0.285 · 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 venueEuropean Journal of ImmunologySame topicPediatric health and respiratory diseasesFrench-language works237,207