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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)

2025· dataset· en· W6926307195 on OpenAlexaffabout

Bibliographic record

VenueGEOSCAN · 2025
Typedataset
Languageen
FieldMedicine
TopicMicrobial Natural Products and Biosynthesis
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsMonochamus alternatusSex pheromonePheromoneLonghorn beetleAttractionBursaphelenchus xylophilus

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.277
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.263
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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Same venueGEOSCANSame topicMicrobial Natural Products and BiosynthesisFrench-language works237,207