Comparative Sublethal Toxicity of Three Neonicotinoid Insecticides in Red-Winged Blackbirds (Dataset)
Bibliographic record
Abstract
This dataset contains physiological and behavioural measurements collected from 121 wild-caught red-winged blackbirds (_Agelaius phoeniceus_) during a controlled laboratory experiment evaluating sublethal toxicity effects of three neonicotinoid insecticides: imidacloprid, clothianidin, and thiamethoxam. Birds were dosed orally with low, high, or control levels of each compound, or assigned to a food restriction group for comparison. The dataset includes body mass, food intake, plasma metabolite concentrations (triglycerides, β-hydroxybutyrate, uric acid), and neurotoxicity scores measured at 1, 6, and 24 hours post-dosing. Additional data cover morphometrics (tarsus and wing length), fattening indices, and the time until first observed signs of toxicity. Each record is associated with a treatment group and includes sex, dosing level, and survival outcome. The study was conducted between May and June 2018 at the Facility for Applied Avian Research in Saskatoon, Saskatchewan, and supports the findings published in Environmental Science & Technology doi:10.1021/acs.est.5c03152). This dataset supports ecotoxicological research on pesticide exposure in wild birds, sublethal physiological effects, and comparative toxicity among neonicotinoids.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.012 |
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".