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Record W7138233102 · doi:10.26071/ogsl-75cc0521-7aba

A Quantitative Baseline Survey of the Ichthyoplankton, Invertebrate Zooplankton and Microplastics in Saint John Harbour

2024· dataset· en· W7138233102 on OpenAlexaffabout
Huntsman Marine Science Centre, Claire Goodwin

Bibliographic record

VenueOGSL repository · 2024
Typedataset
Languageen
Field
Topic
Canadian institutionsHuntsman Marine Science Centre
Fundersnot available
KeywordsMicroplasticsZooplanktonBaseline (sea)PlanktonInvertebrateHarbourIchthyoplankton

Abstract

fetched live from OpenAlex

This study was part of the Coastal Environmental Baseline Program Initiative under the Oceans Protection Plan of Fisheries and Oceans Canada, which aimed to collect a baseline of data on the Port of Saint John, New Brunswick. It aimed to provide updated information on the ichthyoplankton and zooplankton communities in the harbour, and their interactions with microplastics. Samples were collected at six sampling stations (three in the inner port and three in the outer port). These were sampled at eleven timepoints between 2019 and 2022. At each station, for each timepoint, three replicate plankton tows were conducted. Ichthyoplankton and zooplankton from these was identified by the Huntsman Marine Science Centre's taxonomic laboratory. Abundances for different taxa are given. Data on temperature and salinity was collected for each station. A selection of different taxa were pulled from the samples for microplastic analysis. These samples were digested using standard procedures in the UNB microplastics laboratory. The colour, type and size of suspected microplastics were recorded, and FTIR analysis was performed to determine particle composition.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.045
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.020
GPT teacher head0.264
Teacher spread0.244 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2024
Admission routes2
Has abstractyes

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