Datasets deposited for Andrade S. M. M., et al. (in press). The Role of Pheromones and Temporal Mechanisms in the Reproductive Isolation of Monochamus maculosus, Monochamus notatus, and Monochamus scutellatus (Coleoptera: Cerambycidae)
Bibliographic record
Abstract
The manuscript (in press) "The Role of Pheromones and Temporal Mechanisms in the Reproductive Isolation of Monochamus maculosus, Monochamus notatus, and Monochamus scutellatus (Coleoptera: Cerambycidae)" by Andrade et al. describes the results of laboratory volatile collections and field trapping experiments that assessed the role of additional pheromone components, diel rhythms of pheromone production, and phenological/diel flight activity in the reproductive isolation of sympatric populations of Monochamus maculosus, M. notatus, and M. scutellatus in the Great Lakes Forest Region of Ontario, Canada. The data has been split into two datasets: 1 - The “Diel_and_phenological_patterns_of_flight_activity_dataset” contains data collected from field trapping experiments conducted in clear-cut softwood forests north of Thessalon, ON, Canada, during 2016, 2017 and 2019 to determine the diel and phenological flight activity of Monochamus maculosus, Monochamus notatus, and Monochamus scutellatus. 2 – The “Pheromone_release_quantification_dataset” contains data collected from Gas Chromatography- Mass Spectometry analyses of headspace aeration samples of Monochamus maculosus and Monochamus scutellatus to quantify the amount of pheromone produced by males of these two species in the laboratory during 2021.
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 | 0.002 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.201 | 0.098 |
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".