Bibliographic record
Abstract
Developmental Dynamics provides a focus for communication among developmental biologists who study the progressive and dynamic emergence of form and function during embryonic development.The journal is an international forum for the exchange of novel and substantive information on mechanisms that control development.We seek manuscripts presenting work done at all levels of biological organization, ranging from the molecular to the organismal, using both animal and plant model systems, and we welcome studies that advance our understanding of the developmental basis of human disease.Developmental Dynamics is fully compliant with current open access policies of major funding agencies including those of the NIH, HHMI, and Wellcome Trust.In addition, all of our content is open access one year after publication, and more than 30% of our content-including all reviews, special issues, primers, and highlights-is open access immediately upon publication.Developmental Dynamics reviews and publishes rapidly: averaging 3 weeks from submission to decision, 4-6 weeks to online publication after acceptance, and 90 days to issue publication.There are no page or color charges, and the length of the articles (and the number of figures and references included) are limited only by what is required to tell a novel and significant scientific story.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.065 | 0.711 |
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; both teacher heads agree on what is shown here.
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".