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Establishing the relationship between infrared images and heart rate as a potential indicator of metabolic activity in the dromedary camel (Camelus Dromedarius)

2017· article· en· W2782171909 on OpenAlexaff
H. Longhorn, M. Quinton, E Finegan, W. Korver

Bibliographic record

VenueJournal of Camel Practice and Research · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Diversity and Health Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsHeart rateVeterinary medicineBiologyMedicinePhysiologyInternal medicineBlood pressure

Abstract

fetched live from OpenAlex

The goal of the present research is to provide a simpler method of measuring metabolic activity in the dromedary camel and to determine the major route of heat dissipation within this species. Eight dromedary camels were equipped with heart rate monitors on moderately active and low activity days. Thermal images, heart rate readings, ambient air temperature, humidity, wind speed and the presence of direct solar radiation were recorded. The results of a random regression demonstrated that, of the areas observed via thermal image, the surface temperature of the inner thigh was the most closely associated with heart rate. The inner thigh and lower abdomen were also noted as being the largest continuous areas of heat loss based on infrared images, while the axillary region demonstrated the greatest increase in heat dissipation as activity and ambient air temperature increased. These results exhibit positive evidence for further research into the use of infrared images as predictors of metabolic activity in the dromedary camel.

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)0.009
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
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 head0.136
GPT teacher head0.406
Teacher spread0.270 · 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
Published2017
Admission routes1
Has abstractyes

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