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Record W7153676352

Birds as Factors in the Control of the Fall Webworm

2024· article· W7153676352 on OpenAlexaboutno aff
W. De W. M.

Bibliographic record

VenueDigital Commons - University of South Florida (University of South Florida) · 2024
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicEntomological Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsPEST analysisExtinction (optical mineralogy)Pest controlBiological pest controlInsect
DOInot available

Abstract

fetched live from OpenAlex

sections.This paper is a very important one and much valuable data can be obtained from the figures and grouping, both economic and distributional.--W.S. Birds asFactors in the Control of the Fall Webworm.--Dr.John D. Tothill, whose preliminary papers on the natural control of the fall webworm (Hyphantria cunea) have already been noticed in 'The Auk' (25, No. 2, April 1918, p. 252) is doing the best work the reviewer is aware of in bringing to light the actual effect upon insects of the feeding habits of birds.The present comprehensive report details the results of eight years' study of the fall webworm in New Brunswick, and of shorter periods in Nova Scotia and British Columbia.Careful account was kept each year of the percentage of destruction of the pest by various agencies, and it was found that Red-eyed Vireos destroyed from 11.4 to 89.5 per cent of the broods, averaging more than 68 per cent, far more, of course than any other agency.As a test case 382 caterpillars were placed on a tree and in 9 days the birds had taken all but 6 that had been parasitized.The work of the birds naturally was most effective when the webworm was scarce and in some years it seemed scarcely a worm escaped the Vireos.The insect seemed clearly doomed to local extinction when a flight of adult moths from a distance repopulated the district.In summing up his observations Dr. Tothill refers to the "tremendously important part played by the Vireos in Eastern Canada, and by undetermined birds in British Columbia," and concludes: "They are of least importance when the

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.182
Teacher spread0.161 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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