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Record W7128768489 · doi:10.15468/cw3945

FRB: Bivalve larvae of Malpeque Bay, Prince Edward Island

2021· dataset· en· W7128768489 on OpenAlexaffabout
Charlotte M. Sullivan, OBIS Canada

Bibliographic record

VenueOpen MIND · 2021
Typedataset
Languageen
Field
Topic
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsFaunaLarvaTaxonEstuaryResource (disambiguation)Sampling (signal processing)Shellfish

Abstract

fetched live from OpenAlex

This resource includes species distribution records (presence) for taxa collected as part of a Fisheries Research Board study in an estuary in Prince Edward island. Detailed description of the study which was aimed at studying all larval types in a single locality is contained in Sullivan (1948). The belief was that identification of a number of pelecypod larvae from one area would be of practical use in shellfish investigations all along our Atlantic coast. The study which took place over four summers in the 1940s, was done at the Prince Edward Island Biological Station during the months of May to October. All the materials were collected in Malpeque Bay, PEI. This sampling location was chosen as a particularly suitable locality because of the variety of its pelecypod fauna and because its small tides, slight currents, and sheltered waters made it ideal for the gathering of specimens. At the time of the FRB study it was known that twenty-two species of bivalves occurred regularly in the bay. In the study, the larvae of twenty of these were described in all their stages and less complete information was presented on the remaining two, Pandora gouldiana and Yoldia limatula. Ten of these larvae had been described by other authors and twelve were described in the FRB report (Sullivan 1948) for the first time.

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)0.002
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 score0.831
Threshold uncertainty score0.336

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.006
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0470.031

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 head0.032
GPT teacher head0.324
Teacher spread0.292 · 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
Published2021
Admission routes2
Has abstractyes

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