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Record W2048591259 · doi:10.4039/ent132213-2

DISTRIBUTION PATTERNS, BODY SIZE, AND SUGAR-FEEDING HABITS OF TWO SPECIES OF <i>CHRYSOPS</i> (DIPTERA: TABANIDAE)

2000· article· en· W2048591259 on OpenAlexaffabout
Anne M. Ossowski, Fiona F. Hunter

Bibliographic record

VenueThe Canadian Entomologist · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicStudy of Mite Species
Canadian institutionsBrock University
Fundersnot available
KeywordsHoneydewBiologyMorningHabitatEcologyNectarBotanyNettingZoology

Abstract

fetched live from OpenAlex

Abstract Two deer fly species, Chrysops mitis Osten Sacken and Chrysops excitans Walker, were collected by sweep-netting around human bait on five collection dates in Algonquin Provincial Park, Ontario. Distribution patterns of the two species at two sites (abandoned airfield and Davies bog), in two habitats (open and forest edge), and at two times of day (morning and afternoon) are analysed. Chrysops excitans was more frequently collected than C . mitis . Regardless of site, both species are more common in the morning than the afternoon collections and both are more common in the open than the forest-edge habitats. Chrysops excitans was the larger species (based on wing length measurements) and its size was constant regardless of site, habitat, and time of day. In contrast, afternoon-collected C . mitis were larger than morning-collected flies at the Davies bog site. The crop contents of 241 flies were identified using thin-layer chromatography. Using melezitose and stachyose as honeydew-indicator sugars, the relative importance of homopteran honeydew and floral nectar as carbohydrate sources for these flies was determined. We found no significant differences among species, sites, habitats, or times of day. Overall, 52.8% of C . excitans and 51.1% of C . mitis had recently fed on homopteran-derived honeydew sugars, underscoring the importance of this carbohydrate source for the haematophagous Diptera.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.318
Threshold uncertainty score0.999

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)0.0020.000

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 head0.015
GPT teacher head0.210
Teacher spread0.195 · 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

Citations7
Published2000
Admission routes2
Has abstractyes

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