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Record W7066299200

Health, nutritional condition, and productivity of female moose (Alces alces) in Northwestern Ontario / by John Alan Crouse. --

2003· dissertation· en· W7066299200 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2003
Typedissertation
Languageen
FieldArts and Humanities
TopicArt, Technology, and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsProductivityProduction (economics)Work (physics)Population
DOInot available

Abstract

fetched live from OpenAlex

Creation or maintenance of moose habitat through logging requires an understanding of how particular timber-harvest practices affect nutritional interactions of adult females and their subsequent production of young.I compared ultrasonographic fat measurements of free-ranging adult female moose in northwestern Ontario, Canada, 1998-2001, inhabiting two forest management regimes; a modified clear-cut, following the Timber Management Guidelines fo r the Provision o f Moose Habitat, and an unmodified, progressive, and contiguous clear-cut.I also determined pregnancy and in utero twinning by radioimmunoassay of pregnancy-specific protein B (PSPB) and compared the number of expected calves bom to the number of calves surviving to winter.As an adjunct to evaluation of reproductive performance, I also examined blood parameters, hair mineral content, and stress hormone metabolite concentration in feces.For these comparisons to be made, however, reference ranges for blood and hair parameters needed to be established and the effects of handling, individual, temporal, and spatial factors on blood parameter variability measured.Likewise, the radioimmunoassay used to quantify stress hormone metabolites in feces had not been previously used in moose and the affinity of the antibody to the fecal glucocorticoid (GC) metabolites of moose was unknown.In Chapter 1, Validation o f a generalized fecal glucocorticoid assay fo r use in moose, I investigated whether a commercially available multi-species assay (ICN Biomedicals) accurately reflected acute adrenal activation in moose.Recent development of assays for GC metabolites has provided a non-invasive means to assess a variety of human-induced disturbances and environmental conditions on free-ranging animals.Fecal samples are easy to collect year-round and provide an integrated reflection of all GC secretion over a period of time prior to sample collection; however, species-specific differences in steroid metabolism necessitate validation of 11 R ep ro d u ced with p erm ission o f th e copyright ow ner.Further reproduction prohibited w ithout perm ission.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.070
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.022
GPT teacher head0.234
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2003
Admission routes1
Has abstractyes

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