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Effects of Ambient Temperature and Cattle Skin Temperature on Engorgement of <I>Dermacentor andersoni</I>

2008· article· en· W2177861614 on OpenAlexafffund
Tim Lysyk

Bibliographic record

VenueJournal of Medical Entomology · 2008
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsAgriculture and Agri-Food Canada
FundersBeef Cattle Research Council
KeywordsBiologySkin temperatureAnimal scienceAcariVeterinary medicineTickEcology

Abstract

fetched live from OpenAlex

Experiments were conducted to determine whether changes in skin temperature of cattle held at ambient temperatures ranging from 10 degrees C to 30 degrees C influenced engorgement of female Dermacentor andersoni (Stiles). Average skin temperature of Angus cattle increased from 29 degrees C to 34 degrees C, whereas skin temperature of Holstein cattle increased from 32 degrees C to 35 degrees C over the range of ambient temperatures. Changes in skin and ambient temperature strongly influenced the proportion of ticks that successfully engorged, the time required for engorgement, and weight of engorged ticks, and they had a weaker influence on the proportion of dead ticks. The relationships between the tick engorgement parameters and ambient temperature differed between the experiments using either Angus or Holstein cattle. The differences between experiments were reduced when expressed in relation to skin temperature, suggesting that the thermal environment of the breeds is an important characteristic determining engorgement success. Results indicate that ticks respond to changes in the thermal environment of the host, and these changes may be important to engorging ticks exposed to fluctuating spring weather.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.240
Threshold uncertainty score0.805

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.006
GPT teacher head0.237
Teacher spread0.231 · 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 designBench or experimental
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

Citations12
Published2008
Admission routes2
Has abstractyes

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