Notice bibliographique
Résumé
The Journal of Experimental Botany is pleased to announce the appointment of six early career researchers as editorial interns: Francesca Bellinazzo (Wageningen University and Research, the Netherlands), Konan Ishida (University of Cambridge, UK), Nishat Shayala Islam (Western University, Ontario, Canada), Chao Su (University of Freiburg, Germany), Catherine Walsh (Lancaster University, UK), and Arpita Yadav (University of Massachusetts Amherst, MA, USA) (Fig. 1). The aim of this programme is to help train the next generation of editors. Each intern has been paired with one of our Associate Editors as a mentor, who will guide them through all aspects of the editorial process for selected manuscripts: initial editorial assessment, selection of reviewers, and evaluation of the reviews to reach a decision. The strict rules of editorial confidentiality will apply at all times, and the final decision on each manuscript will remain the sole responsibility of the Associate Editor. Our interns will also be invited to write Insight commentaries on selected papers and contribute to the journal’s social media output. If you would like to learn more about our editorial interns, please visit the JXB website. As we begin a new year, we look forward with hope to an end to the Covid-19 pandemic, which has had a major impact on all of our lives, both personal and professional, and JXB has been no exception. Our editorial staff in the Lancaster office and members of our editorial board rose magnificently to the challenges during these difficult times, guided by our goal to handle all submissions in an efficient, constructive, and courteous way, and helping to maintain the high publishing standards the plant science community expects from us. We are pleased to report a further increase in our Clarivate™ Web of Science™ impact factor to 7.378, reflecting the high quality of the manuscripts we receive. We would like to thank all the authors who entrusted their work to us for publication and our valued reviewers who kindly gave their time and the benefit of their expert knowledge to support JXB. JXB was founded by the Society for Experimental Biology (SEB) and remains part of the SEB family of journals that support its mission to promote science, supporting the science community through its scientific meetings, travel grants, careers workshops, and public outreach and education programmes. This year, the SEB celebrates the centenary of its founding in 1923 (https://www.sebiology.org/centenary.html), and we congratulate the society, its officers and members, past and present, for this remarkable achievement. We are looking forward to an exciting programme of plant, animal, and cell science at the SEB Centenary Conference in Edinburgh (4–7 July 2023; https://www.sebiology.org/centenary/centenary-conference.html), where there will be an opportunity to meet some of our editors and editorial staff. To mark the occasion, we have commissioned a special series of SEB Centenary Reviews, to be published later this year, representing the diverse aspects of plant science published by JXB. We thank the eminent scientists who kindly agreed to contribute to this collection, and we hope that you will enjoy reading the reviews and that you will continue helping JXB to support the invaluable work of the SEB in its second century. Introducing JXB’s Editorial Interns. Top (L to R): Nishat Shayala Islam, Chao Su, Francesca Bellinazzo. Bottom (L to R): Arpita Yadav, Catherine Walsh, Konan Ishida.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,013 | 0,036 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,004 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,011 | 0,007 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,008 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,056 | 0,048 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».