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Record W7099419471

Population studies of Marbled Murrelets(Brachyramphus manners) in British Columbia

2014· article· en· W7099419471 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsSexingSeabirdPopulationBreedPhilopatryCapeNest (protein structural motif)Carrion
DOInot available

Abstract

fetched live from OpenAlex

We describe a novel approach to the study of a population of forest nesting seabirds (Marbled Mandel& Brachynnmphus marmora) which arc thought to be declining as a result of various potential threats to their emironment. This is the first research on this species which makes wide use of individually marked birds. It was made possible through the development of two capture techniques; (I) a floating mist net system which can be used in narrow coastal inlets close to where the birds breed and (2) using dip nets at night These techniques not only led to the marking of more than 1000 birds for a population based study, but allowed the collection of blood samples for physiological examination of breeding status in the absence of a large sample of birds at nests. We provide the First evidence of breeding area philopatry in this species. We also document the first longevity record for the species. Using a newly developed sexing technique based\t nology which could have wide application for other seabird studies, we found a large excess of males in our marked population. This probably reflects a differential tendency of males to be captured and may reflect a greater tendency of males to fly into the woods. Résumé Nous decrivons une nouvelle apprtoche pour Petude dune population toiseaux de mer (Alque marbre, Brachyramphus mannoratus) nichant en fora et clue Ion eroit en declin, Aca

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)0.001
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 score0.423
Threshold uncertainty score0.851

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.231
Teacher spread0.217 · 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
Published2014
Admission routes1
Has abstractyes

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