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Record W2802812281 · doi:10.1111/een.12526

Natural mating disruption in a protogynous bagworm (Lepidoptera: Psychidae)

2018· article· en· W2802812281 on OpenAlexafffund
Marc Rhainds

Bibliographic record

VenueEcological Entomology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLepidoptera: Biology and Taxonomy
Canadian institutionsNatural Resources CanadaCanadian Forest Service
FundersSimon Fraser University
KeywordsBiologyMatingPheromoneLepidoptera genitaliaMating disruptionBiological dispersalSex pheromoneZoologyEcologyPopulation

Abstract

fetched live from OpenAlex

1. The occurrence of natural mating disruption is investigated in the bagworm Metisa plana Walker (Lepidoptera: Psychidae). Neotenic females reproduce within a self‐constructed bag made of silk and plant material, and attract males for copulation by discharging pheromone‐impregnated setae into the lower section of their bag (early life pulsed release). Because pheromone release is, in part, out of the female's control, passive pheromone sources emanating from bags of post‐reproductive (dead) females may compete with live pheromone‐calling females. 2. Data collected in a plantation of oil palm during five consecutive generations of bagworms indicate that mating probabilities decline with increasing number of conspecific females per palm, reminiscent of natural mating disruption due to false trail following. Low mating success of late‐emerging females further suggests that protogyny evolved to reduce late‐season mating disruption due to incremental accumulation of passive sources of pheromone over time. 3. Natural mating disruption may be linked with life‐history syndromes of female flightlessness in forest habitats: sedentary reproduction of highly fecund females on perennial hosts, combined with restricted dispersal of larval progeny that remain on their maternal host plant and travel short distances while ballooning, may lead to rapid build‐up of local populations beyond levels where mating interference among females is possible.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.701

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.273
Teacher spread0.260 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2018
Admission routes2
Has abstractyes

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