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Record W2021049928 · doi:10.1080/03014223.2014.936474

Spatio‐temporal distribution of sperm whales ( <i>Physeter macrocephalus</i> ) off Kaikoura, New Zealand, in relation to bathymetric features

2014· article· en· W2021049928 on OpenAlexaff
Ophélie Sagnol, Christoph Richter, LH Field, Femke Reitsma

Bibliographic record

VenueNew Zealand Journal of Zoology · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsAmgen (Canada)University of Toronto
Fundersnot available
KeywordsSperm whaleBathymetrySubmarine canyonBiologyOceanographyCetaceaSpermFisheryCanyonSubmarine pipelineGeographyGeologyCartography

Abstract

fetched live from OpenAlex

Using a shore‐based station we monitored the position of sperm whales ( Physeter macrocephalus ) within the Kaikoura submarine canyon from 2010 to 2012. We tracked sperm whales using a theodolite station for a total of 290 days. We extracted the distance from the nearest coast, the depth and the bathymetric slope using ArcGIS 10.1. We estimated the seasonal spatial distribution of sperm whales using general additive models. The distribution varied significantly between seasons; individuals were found in deeper water and further offshore in the spring than in winter. This study improved our understanding of the variability of sperm whale distribution patterns off Kaikoura. We determined that the distribution was linked to the bathymetric features and we hypothesized that whales adapted their use of the submarine canyon in relation to food aggregation. We would encourage further studies to evaluate the sperm whale relationship with oceanographic variables off Kaikoura.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.010
GPT teacher head0.233
Teacher spread0.224 · 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 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

Citations8
Published2014
Admission routes1
Has abstractyes

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