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Record W7128795538 · doi:10.15468/6hcbrt

ACER: Benthic fish recorded as part of the 1989 Littoral Investigation of Sediment Properties project in the Minas Basin

2017· dataset· en· W7128795538 on OpenAlexaff
Graham R. Daborn

Bibliographic record

VenueOpen MIND · 2017
Typedataset
Languageen
Field
Topic
Canadian institutionsAcadia University
Fundersnot available
KeywordsLittoral zoneBenthic zoneEstuarySedimentHydrology (agriculture)Structural basinParticulatesInlet

Abstract

fetched live from OpenAlex

In 1989, a multidisciplinary study coordinated by the Acadia Centre for Estuarine Research (ACER) was carried out on the Starrs Point tidal flat, a macrotidal flat in the Minas Basin. The objectives of this study, the Littoral Investigation of Sediment Properties (LISP), was to examine parameters that might influence the stability of the sediment surface and to monitor atmospheric and oceanographic conditions continuously during a spring-neap tidal cycle. The final project report (Daborn 1991) contains information on bathymetry, sedimentology, (grain size, organic content, suspended particulate matter), oceanography (tides, circulation patterns, temperature and salinity), geomechanics, erodibility, air-sea-land interactions, primary production, and animal-sediment interactions.This resource contains information on fish presented in the final project report in Section 3.11.7: 'Fish Utilization of the Tidal Flat'. NOTE: This resource is a small subset of the data and information presented in the final project report.

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)0.004
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 score0.907
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.021

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 head0.120
GPT teacher head0.342
Teacher spread0.223 · 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
Published2017
Admission routes1
Has abstractyes

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