Dataset and R code for Bottini et al. 2025_Effects of wintering under methylmercury exposure on spring reproductive onset in song sparrows (Melospiza melodia).
Bibliographic record
Abstract
This folder contains all the datasets and R code needed to reproduce the analysis of manuscript from Bottini et al. 2025 "Effects of wintering under methylmercury exposure on spring reproductive onset in song sparrows (Melospiza melodia)" published in Journal of Neuroendocrinology (freely accessible on https://doi.org/10.1111/jne.70027). Project description: We assessed if MeHg exposure during winter may affect the bird's reproductive onset. The experiment main hypothesis and predictions were that due to MeHg exposure energetic cost / toxicity and the onset of seasonal change caused by photostimulation, the treatments (control vs MeHg) and time (almost 7 months of captivity) will affect the quantified physiological and neurological measures. Also, we predicted a potential time per treatment interaction, either caused by 1) bird's recovery from MeHg harm after a time without exposure, or 2) because the physiological changes associated with photostimulation promoted the appearance of latent MeHg effects not detected previously. Article Key Findings: • Winter exposure to methylmercury does not affect male song sparrows’ spring testes mass, syrinx mass, plasma androgen concentrations, overall number of GnRH neurosecretory cells, and body condition. • However, methylmercury exposure slightly decreased the development of cloacal protuberances after photostimulation and the number of region-specific GnRH producing cells. • Songbird male reproductive onset appears buffered against methylmercury’s deleterious effects but some carry-over effects on secondary sexual traits that may affect birds’ breeding performance.
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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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; 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".