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Record W6925361980 · doi:10.17632/79ndd5mmnx.2

Eastern Arctic and Subarctic Sponge Identification - DFO Multispecies Trawl Surveys (2010-2014, 2017 and 2019)

2023· dataset· en· W6925361980 on OpenAlexaffabout

Bibliographic record

VenueData Archiving and Networked Services (DANS) · 2023
Typedataset
Languageen
FieldArts and Humanities
TopicHistorical Linguistics and Language Studies
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsSpongeArcticSubarctic climateBenthic zoneHabitatBenthic habitatMarine habitats

Abstract

fetched live from OpenAlex

Sponges (phylum Porifera) are benthic filter feeding animals that play an important role in nutrient cycling and habitat provision in the deep sea. However, despite these key functional roles, sponge communities in Arctic marine environments are still poorly known. Sponges were collected between 2010-2014, in 2017 and in 2019 during annual multispecies trawl surveys conducted by Fisheries and Oceans Canada in Baffin Bay, Davis Strait and portions of Hudson Strait. They were taxonomically examined under a microscope and it resulted in a dataset of approximately 2700 sponge specimens identified, comprising ~100 known sponge taxa. Sponges from various poescilosclerid families are described in this technical report series. For each species presented in these reports, a physical description, a discussion of their distinguishing characteristics, the dimensions and descriptions of their spicules, photos of the sponge and spicules, a map of the sampling locations, and taxonomic remarks are included. The present data package includes links to all these arctic sponge technical reports alongside the datasets of all specimens supporting the taxonomic description process.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
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 score0.108
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.260
Teacher spread0.217 · 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
Published2023
Admission routes2
Has abstractyes

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