A decade of <i>G3: Genes|Genomes|Genetics</i>: a unified home for genetics and genomics research
Notice bibliographique
Résumé
When we added G3: Genes|Genomes|Genetics to the Genetics Society of America’s publishing portfolio a decade ago, we discussed two compelling reasons for doing so (Andrews et al. 2011). First, GENETICS, the flagship GSA journal, publishes papers that are of broad interest and provide novel—and often mechanistic—insight into genetic and genomic processes. This mandate, while important, meant that many useful studies in both established and emerging genetic systems were not being published by the GSA and thus made available to the community. For example, informal discussions with colleagues suggested that the results of interesting, well-designed genetic screens were languishing in lab notebooks as they did not yet have a clear mechanistic discovery to support a publication. However, access to those screen results could potentially catalyze work in other labs that would provide new insights. To address this gap, we created an article type called the Mutant Screen Report to make data from useful genetic screens available to the community in a timely fashion. Over the past 8 years, G3 has published 118 Mutant Screen Reports, describing work in a range of experimental systems. Second, a decade ago, it was clear that leaps in sequencing and other technologies were on the horizon. Space was needed for scientists to rapidly share important genomics data and resources that the community could build on as part of their research programs. To encourage dissemination of these data, G3 added other article types like Genome Reports and Software and Database Resources. The Genome Report, in particular, has gained traction in the community as comparative genomics of both model and nonmodel systems has become possible with advances in genome editing and genome sequencing. In the past year, we have published Genome Reports reporting analyses of familiar model organism genomes as well as a remarkable range of biodiversity, from bacteriophages to birds, sea creatures, and plants. The editorial mandate of G3 was structured to complement and partner with our sister journal GENETICS, and to further our mission to ensure that practicing scientists play a central role in the peer-review process since the sharing of data, ideas, and conclusions is foundational to the practice of science. We began the journal with 60 editors and roughly 35% of our submissions coming to G3 via GENETICS. Now, as we celebrate 10 years as an open-access publication, we have almost 100 associate editors led by 8 Senior Editors, a Deputy Editor, and the Editor in Chief. We now receive more than 85% of our submissions natively, while continuing to encourage interactions between GENETICS and G3 editors to ensure that useful genetics and genomics data are made available to the community. More than 3000 publications later, we are proud that our community believes in our mission and chooses to publish with us. And that mission? Serving the field of genetics by publishing high-quality, useful, and robust papers without subjective decisions about impact. We believe that no journal should make the process of publishing a paper any harder than it needs to be. That’s why G3 accepts first submissions in any format, lets you know promptly if your paper is not a good fit, and strives to return initial decisions for reviewed papers within 35 days. We accept preprints and participate in portable peer review (meaning you can bring reviews from another journal or review platform alongside your submission in hopes of expediting the review process). Our expert board of editors thoughtfully synthesize reviews and communicate clear decisions, so you’re not left wondering what to do next. In our first 10 years, you’ve come to trust us as a place that treats you, your work, and your time with respect and care. A place that innovates and grows alongside the science and the scientists in our sphere. We hope to keep serving you with that same ethos for the next 10 years—and the 10 after that. The author declare that there is no conflict of interest.
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 | 0,019 | 0,047 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,002 |
| Méta-épidémiologie (sens large) | 0,004 | 0,004 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,008 |
| Communication savante | 0,015 | 0,008 |
| Science ouverte | 0,006 | 0,005 |
| Intégrité de la recherche | 0,031 | 0,052 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,015 | 0,014 |
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 ».