Bibliographic record
Abstract
Year 2009 was a banner year for Evolutionary Applications. Along with publishing four full issues (40 papers), the journal was fully indexed in ISI Web of Science, and was awarded the Association of Learned and Professional Society Publishers (ALPSP) award for Best New Journal for 2009. We received 84 submissions, an over 20% increase from 2008. We published two special issues: Evolutionary Medicine, 2(1); and Towards Darwinian Fisheries Management, 2(3), and had an article featured as a Must Read in the Faculty of 1000 (Colautti et al. 2009). Although Evolutionary Applications was launched in 2008, papers published in the first 2 years have already been cited 370 times in over 90 different journals for an average citation per item of 3.75. Watch for our first impact factor which will be issued sometimes during 2010. To accommodate for the increase in submissions, we will be publishing six issues in 2010. Four of these issues will contain regular articles. As you can see, 3(2) is a special issue on Biological Invasions, edited by Carol Lee, Bob Holt and Kristina Schierenbeck. Issue 3(5) will be a special issue on Evolutionary Change in Agro-Ecosystems, edited by Pete Thrall and Jim Bever. This year we will also be finalizing our data archiving policy, which will be implemented in 2011. Along with most of the main ecology and evolution journals, we will be encouraging authors to deposit the data used to generate the main results of their papers into data repositories such as Dryad, the database developed by NSECENT and currently funded by the National Science Foundation. Authors interested in the benefits of data archiving can learn more in Whitlock et al. (2010). Evolutionary Applications will continue to freely available to all in 2010, and will have a strong presence at many of the relevant meetings and conferences worldwide. We plan to hold our yearly editorial meeting at SSE/ASN/SSB in Portland, OR (25–29 June 2010). As always, we welcome comments and suggestions from the community either by e-mail (evolappl@zoology.ubc.ca), or in person. As you can see in Table 1, Evolutionary Applications publishes papers that use principles from evolutionary biology to address topics ranging from disease biology to human-mediated selection to climate change. We are very flexible in the types of papers that we consider, provided that the application of evolutionary biology to practical questions is clear. Please contact the journal office if you are not sure whether your paper is appropriate for the journal. We particularly encourage submissions of review papers on any topic falling within the scope of the journal. Potential contributors are invited to contact Louis Bernatchez to discuss the relevance of the review prior to submission. Finally, we wish to sincerely thank our associate editors, members of our editorial board as well as all referees that have been working hard to make 2009 a highly successful year for Evolutionary Applications.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".