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Record W2156507392

Ichthyoplankton Abundance and Distribution Model within the Gulf of Maine from Cape Sable, Nova Scotia to southern Massachusetts

2006· article· en· W2156507392 on OpenAlexaboutno aff
Biogeography Branch

Bibliographic record

VenueOffline data · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
Fundersnot available
KeywordsIchthyoplanktonNova scotiaAbundance (ecology)CapeOceanographyFisheryGeographyFish <Actinopterygii>Fisheries scienceContinental shelfEnvironmental scienceFisheries managementGeologyFishingBiologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The National Marine Fisheries Service's Northeast Fisheries Science Center conducted standardized ichthyoplankton surveys from 1977-1988 along the continental shelf between Cape Hatteras, North Carolina and Cape Sable, Nova Scotia. These data were collected as part of a comprehensive fisheries ecosystem study to identify changes in fish community structure and investigate recruitment mechanisms. During this time period 25,000 bongo samples were collected within this broad area. In this analysis, a subset of the data were used to model ichthyoplankton abundance and distribution within the Gulf of Maine from Cape Sable, Nova Scotia to southern Massachusetts. Overall, 6,406 samples were used to model abundance and distribution within a seasonal time series (Figure 3.2.1). Additionally, samples conducted within Stellwagen Bank National Marine Sanctuary were analyzed to determine species composition abundance within the Sanctuary.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.491

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.024
GPT teacher head0.251
Teacher spread0.227 · 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 designSimulation or modeling
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

Citations0
Published2006
Admission routes1
Has abstractyes

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