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Record W4394319353 · doi:10.6084/m9.figshare.21478740

Dataset - Figure 2.A and supplementary material 3

2023· dataset· en· W4394319353 on OpenAlexaffabout
Barbara Vuillaume, Julien H. Richard, Sandra Hamel, Joëlle Taillon, Marco Festa‐Bianchet, Steeve D. Côté

Bibliographic record

VenueFigshare · 2023
Typedataset
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsMinistère des Ressources naturelles et des Forêts
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Dataset used for Fig. 2.A in the core of the paper :Vuillaume, B., J. H. Richard, S. Hamel, J. Taillon, M. Festa-Bianchet and S. D. Côté. 2023. Birth date determines early calf survival in migratory caribou.Also used in the supplementary material 3 of the article: Comparison of survival probabilities and environmental conditions encountered by female migratory caribou and their calves of the Rivière-aux-Feuilles herd (Nunavik, Canada) during the three years of the study (2016 – 2018).

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)0.002
metaresearch head score (Gemma)0.015
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.791
Threshold uncertainty score0.699

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.007
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.2090.116

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 head0.038
GPT teacher head0.271
Teacher spread0.233 · 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
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
Published2023
Admission routes2
Has abstractyes

Explore more

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