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Record W7047969942

Interview: How macaques cope with high density

2015· article· fr· W7047969942 on OpenAlexaff

Bibliographic record

VenueOpen Repository and Bibliography (University of Liège) · 2015
Typearticle
Languagefr
FieldEngineering
TopicPhotocathodes and Microchannel Plates
Canadian institutionsFrancophone University Association
Fundersnot available
KeywordsMacaquePrimateSexual behaviorPublic healthMEDLINE
DOInot available

Abstract

fetched live from OpenAlex

Gwennan Giraud est une étudiante en éthologie de l’université de Liège qui est venue à Bali pour faire des recherches sur les macaques d’Ubud et d’Uluwatu. Cette jeune Française de 26 ans, originaire de Bordeaux, étudie comment ce singe s’adapte ici aux situations de forte densité et parfois de surpopulation de sa propre espèce et partage avec nous ses premières impressions sur les conditions moderne d’existence de ce macaca fascicularis, plus communément appelé macaque crabier ou macaque à longue queue. Si notre contributeur Ron Lilley a déjà écrit dans nos pages sur ce spécimen de primate qu’on ne trouve qu’en Asie, mettons le en vedette une nouvelle fois ce mois-ci pour rappeler qu’il est, lui aussi, une icône incontournable de Bali…

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0090.003
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.023
GPT teacher head0.201
Teacher spread0.178 · 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 designQualitative
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
Published2015
Admission routes1
Has abstractyes

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