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Record W4230106528 · doi:10.15353/acmla.n158.220

Movebank

2018· article· en· W4230106528 on OpenAlexaffvenue
Tomasz Mrozewski

Bibliographic record

VenueBulletin - Association of Canadian Map Libraries and Archives (ACMLA) · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsLaurentian University
FundersUniversität KonstanzMax-Planck-GesellschaftNorth Carolina Museum of Natural SciencesOhio State UniversityNational Aeronautics and Space AdministrationDeutsches Zentrum für Luft- und RaumfahrtNational Science Foundation
KeywordsComputer scienceFocus (optics)World Wide WebTracking (education)Information retrievalData science

Abstract

fetched live from OpenAlex

Movebank is a web-based data management tool and data archiving repository for animal tracking data. Its special focus enables specialized search and discovery tools for users searching for animal tracking data. However, there are some idiosyncrasies with the site and researcher update is not universal.

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)0.005
metaresearch head score (Gemma)0.024
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: Other · Consensus signal: none
Teacher disagreement score0.375
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.024
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.013
Science and technology studies0.0030.001
Scholarly communication0.0100.007
Open science0.0050.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.3750.331

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 head0.009
GPT teacher head0.178
Teacher spread0.170 · 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
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

Citations1
Published2018
Admission routes2
Has abstractyes

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