Bibliographic record
Abstract
mLife made its debut with the publication of the inaugurating issue on March 30, 2022. We are pleased to have published 42 high-quality articles, including reviews, research articles, and application notes, which cover microbial genetics, biochemistry and physiology, ecology and evolution, pathogenic and public health microbiology, and so forth. Nine of the articles concern technical innovations and applications in areas including genome editing, single-cell analysis, and database. To pay tribute to the great microbiologist Carl Woese on the 10th anniversary of his death, the Journal published a special section containing three thought-provoking articles in the last issue of the year. mLife and its collaborating publisher Wiley have made great efforts to increase the Journal's national and continental representation. As a result, the Journal received submissions from over 20 countries in five continents last year. The authors of the published articles are from China, United States, Great Britain, France, Canada, Germany, Japan, Switzerland, and Austria. We believe that quality is the life of a journal, and have strived to uphold the highest academic standard for mLife. Last year, we implemented strict and professional review and editing policies. Our editorial board members and invited reviewers have done a great job to ensure that only high-quality studies in a given field of microbiology were considered. As a result, only about 13% of the free submissions were accepted. Although it is apparently too early to provide a reliable assessment of the impacts of mLife as well as articles published so far in the journal, mLife fares relatively well among newly launched journals in microbiology and attracted a quite broad audience based on various metrics. Over 35,000 downloads from 39 countries were recorded for the last nine months of 2022 by Wiley Online Library alone. To serve the microbiology community and increase the visibility of mLife, we started a webinar series, referred to as the mLife Forum, which generally included three invited talks for a total of about two hours for each webinar. Five webinars on various topics of current interest were successfully held last year, often attracting a large audience (>3000 attendants/webinar). In collaboration with the Chinese Society for Microbiology (CSM), we have also incorporated a forum for early-career microbiologists into the regular program of the annual conference of CSM in 2022. The early career speakers were selected based on their excellent research published in mLife by associate editors and editors-in-chief. In its pursuit of excellence, mLife will strive to be innovative in scientific publication and further improve the editorial services to our authors by offering rapid and professional peer review, high-level copyediting and figure polishing, and timely and wide dissemination at no publication charge. The Journal will also make efforts to raise the number of articles published per year and increase the representation of countries in the publication. The new journal has received enthusiastic support from colleagues around the world, to whom we are deeply indebted. Also, we would like to express our appreciation to all editorial board members, authors, reviewers as well as Wiley for their enormous contributions to the publication of mLife. After the successful 1st year, we are confident that mLife will become a top-tier journal in the field of microbiology in the near future.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.088 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.029 | 0.016 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.012 | 0.021 |
| Insufficient payload (model declined to judge) | 0.104 | 0.144 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".