MétaCan
Menu
Back to cohort
Record W2144472870 · doi:10.1656/045.019.0310

Near-Shore Fish Populations within St. Pauls Inlet, an Estuarine System in Western Newfoundland

2012· article· en· W2144472870 on OpenAlexafffundabout
Ryan L. Melanson, Christine Campbell

Bibliographic record

VenueNortheastern Naturalist · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsMemorial University of Newfoundland
FundersMemorial University of NewfoundlandParks Canada
KeywordsBayInletEstuaryFaunaShoreFisheryOceanographyGeographyFish <Actinopterygii>EcologyBiologyGeology

Abstract

fetched live from OpenAlex

St. Pauls Inlet, a fjord-type estuary on Newfoundland's west coast, was sampled for near-shore fish populations during August 2010. A total of 1451 fish were caught, comprising 15 species and representing nine families. Sampling was carried out using a 10-m beach seine, minnow traps, and multi-paneled gill nets. The objective of this study was to document the near-shore fish fauna within St. Pauls Inlet and compare with other data sets from Newfoundland and Labrador. A total of seven sites were sampled along the Inlet and the outer bay. Sites were chosen to best represent a potential range in salinities, and for ease of accessibility. Cluster analysis performed on species presence/absence data indicated high similarity between sites based on the Jaccard similarity coefficient. In terms of regional fish fauna, the St. Pauls sites clustered with freshwater-influenced sites from Bonne Bay (western Newfoundland), and were distinct from the more marine sites of Trinity Bay (eastern Newfoundland) and Gilbert Bay (Labrador).

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 score0.122
Threshold uncertainty score0.245

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 studies0.0010.001
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 head0.030
GPT teacher head0.280
Teacher spread0.250 · 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

Citations3
Published2012
Admission routes3
Has abstractyes

Explore more

Same venueNortheastern NaturalistSame topicMarine and fisheries researchFrench-language works237,207