MétaCan
Menu
Back to cohort

Patterns in the Distribution and Abundance of Selected Zooplankton Species from the Coast of British Columbia

2013· article· en· W2469400283 on OpenAlexaffabout
Grant A. Gardner

Bibliographic record

VenueBiological Oceanography · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsZooplanktonHydrographyOceanographySagittaAbundance (ecology)CopepodInletFisheryAcartiaCalanusIntrusionCrustaceanEcologyBiologyFish <Actinopterygii>GeologyOtolith

Abstract

fetched live from OpenAlex

AbstractData on the distribution and abundance of the calanoid copepods Calanus plumchrus, C. cristatus, and Eucalanus bungii bungii and the chaetognaths Sagitta elegans and Eukrohnia hamata were obtained in 1977 from two cruises along the British Columbia coast. Stations adjacent to the Strait of Georgia were strongly influenced by an annual intrusion of offshore water, which carried large numbers of immigrant zooplankters, while those in Loughborough Inlet and the vicinity of Dean and Burke channels had a higher proportion of resident species and a less obvious intrusion. Species in Douglas Channel suggested an intrusion that did not appear in the hydrographic data and also indicated that Douglas Channel may be unique with respect to the other inlets studied. Patterns of distribution for the five species support previously recognized patterns in zooplankton communities and hydrographic regimes along the coast, and show that the formation and maintenance of zooplankton communities there is a combination ...

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 score0.050
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.195
Teacher spread0.182 · 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

Citations6
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueBiological OceanographySame topicMarine and fisheries researchFrench-language works237,207