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Record W7095775318

GROUP 4: HIGHLY MIGRATORY FISHES, SEABIRDS AND MARINE MAMMALS Seabirds reflect changes in ocean climate

2013· article· en· W7095775318 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsForagingFledgePopulationNest (protein structural motif)ShoreReproductionSeabirdBreed
DOInot available

Abstract

fetched live from OpenAlex

Seabirds spend most of their lives on the ocean but come to shore to raise their young. Most seabirds breed on island colonies. When birds are on the colony it is relatively easy for scientists to obtain rigorous quantitative information on their diet, reproduction and survival. The response of seabirds to variation in ocean climate will likely reflect species-specific traits that include body size, cost of foraging, potential foraging range, ability to dive, amount of ‘spare ’ time in the daily budget, and ability to switch diet (Furness and Tasker 2000). The following example outlines some research on Triangle Island, British Columbia, Canada, examining time-series data on breeding seabirds during a period of extreme variation in ocean temperatures. is a 550 g piscivorous, burrow-nesting species that only visits the colony at night. Nestlings are cared for from 45-60 d until fledging. The Tufted Puffin is a 750 g, piscivorous, burrow nester which visits the colony at multiple times throughout the day. Nestlings fledge at 40-50 d. The breeding population for Triangle Island is estimated to be

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 score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.003

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 head0.008
GPT teacher head0.214
Teacher spread0.206 · 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
Published2013
Admission routes1
Has abstractyes

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