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Record W2424934551 · doi:10.1163/15685403-00003557

A new secondary ecotope for talitrids: driftwood in the Bay of Fundy

2016· article· en· W2424934551 on OpenAlexaff
David J. Wildish, Shawn Robinson

Bibliographic record

VenueCrustaceana · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsCoveEcotopeBayAmphipodaEcologyGeographyBiologyArchaeologyHabitatCrustacean

Abstract

fetched live from OpenAlex

Platorchestia platensis(Amphipoda, Talitridae) was previously known ecologically as a wrack generalist, but here we describe a secondary driftwood ecotope for this species. The trophic dependence of driftwood-acclimatedP. platensison rotting wood was confirmed by successfully culturing it within driftwood, without further addition of food. The stranded driftwood in whichP. platensiswas found contained gribble burrows (round and of 0.6 to 5 mm diameter). We hypothesize thatP. platensisused the empty gribble burrows for interspecific squatting (to gain initial entry to driftwood and for shelter). We found eleven driftwood depositories in a 230 km length of shoreline in Passamaquoddy Bay. The commonest driftwood was of spruce and eastern white cedar. The small marsh at Hartley Cove contained a driftwood depository, where the new driftwood ecotope was discovered. This site was studied temporally to understand how wind and tidal forces might affect import and export of driftwood.

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 score0.982
Threshold uncertainty score0.035

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 communication0.0010.000
Open science0.0000.001
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 head0.023
GPT teacher head0.254
Teacher spread0.231 · 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

Citations10
Published2016
Admission routes1
Has abstractyes

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