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Record W7078866188 · doi:10.5281/zenodo.17003175

F I G U R E 1 Ascension Island with the three acoustic arrays deployed between 2017 and 2021 in Coexistence, resource partitioning, and fisheries management: A tale of two mesopredators in equatorial waters

2024· other· en· W7078866188 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typeother
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsBayBathymetryJettySound (geography)GrouperFish <Actinopterygii>Serranidae

Abstract

fetched live from OpenAlex

F I G U R E 1 Ascension Island with the three acoustic arrays deployed between 2017 and 2021 includes the northwest linear array (n VR2W acoustic receivers = 11; 2017–2019 deployment, teal-fill circle), English Bay Vemco Positioning System (n acoustic receivers = 9–22, 2019– 2021, pink-fill circles), Bates Point array (n acoustic receivers = 23, 2020–2021, yellow-fill circle). Fish were tagged in 2017 for the northwest array (n rock hind grouper = 20, indicated by teal stars), 2019 within the English Bay array (n rock hind grouper = 10; n moray eels = 10, pink stars), and 2021 within the Bates Point array (n rock hind grouper = 16; n moray eels = 5, yellow stars). The light, gray-filled polygon indicates rock substrate fringing the island (dark gray polygon). Bathymetric contour (dashed line) derived from Ascension Island Admiralty Chart 1691. Inset. Ascension Island (black star) in the South Atlantic Ocean (7.9467 S, 14.3559 W).

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.978
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0220.005

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 head0.021
GPT teacher head0.222
Teacher spread0.201 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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