MétaCan
Menu
Back to cohort
Record W4412814200 · doi:10.3897/bdj.13.e157371

A worldwide geographical scheme for recording the distribution of marine biota: proposal and call for feedback

2025· article· en· W4412814200 on OpenAlex
Nicolas Bailly, Serge Gofas, Britt Lonneville

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBiodiversity Data Journal · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsUniversity of British Columbia
FundersMuséum National d'Histoire NaturelleYale University
KeywordsBiotaDistribution (mathematics)Scheme (mathematics)Environmental resource managementGeographyEcologyComputer scienceEnvironmental scienceBiologyMathematics

Abstract

fetched live from OpenAlex

This paper describes a project aimed at creating a worldwide set of polygons for recording marine distribution data, parallel to the current World Geographic Scheme for Recording Plant Distribution used on land. The countries' Exclusive Economic Zones were either taken as recording units or subdivided according to Marine Ecosystems of the World or the IHO Limits of Oceans and Seas when appropriate; existing local schemes were adopted for Europe and Australia. A hierarchical set of five Level-1 units, 26 Level-2 units, 232 Level-3 units and 536 Level-4 units is presented for feedback and intended to be submitted as a standard to the Biodiversity Information Standards (TDWG). This project is expected to provide a means to instantly retrieve national checklists for any taxonomic group and also a valuable tool to handle imprecise country-level records from the old literature.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.129
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.257
Teacher spread0.228 · 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