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Record W6887346000 · doi:10.15468/gs9apm

DFO Quebec Region Magdalen Islands Lobster Survey

2023· dataset· fr· W6887346000 on OpenAlexaffabout

Bibliographic record

VenueGlobal Biodiversity Information Facility · 2023
Typedataset
Languagefr
Field
Topic
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsZoogeographyAbundance (ecology)Population structurePopulationTaxonOtter

Abstract

fetched live from OpenAlex

Observations of taxa recorded during a research survey on lobster (Homarus americanus), using an otter trawl (Nephrops), carried out by DFO every year since 1995 in the Magdalen Islands. The main objective of this survey is to assess the abundance and structure of lobster populations / Observations des taxons enregistrées lors d'un relevé de recherche sur le homard (Homarus americanus), à l'aide d'un chalut à porte (Nephrops), réalisé par le MPO à chaque année depuis 1995 aux Iles-de-la-Madeleine. L’objectif principal de ce relevé est d’évaluer l’abondance et la structure des populations de homard.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.029
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.010
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0290.011

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 head0.035
GPT teacher head0.234
Teacher spread0.200 · 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 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
Published2023
Admission routes2
Has abstractyes

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Same venueGlobal Biodiversity Information Facility→French-language works237,207→