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Record W7095121412

Available online at www.s o er

2014· article· en· W7095121412 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemistry
TopicInorganic Chemistry and Materials
Canadian institutionsnot available
Fundersnot available
KeywordsXiphophorusMate choiceOlfactory cuesAnimal communicationSexual selectionSelection (genetic algorithm)Sensory cue
DOInot available

Abstract

fetched live from OpenAlex

y, itia onli Xiphophorus continens is one of two northern swordtail species that has only small, noncourting, sneaker males. In this study we discovered that female X. continens were strongly attracted to the scent of courting males of their close relative X. montezumae and that they preferred the odour of those males to the scent of Olfactory cues are important in fish communication, transmitting information in interactions from parental have traditionally been classified as long-distance signals the visual modality. Studies of interactions between tem-porally displaced signals indicate that the first cue (in this case chemical) functions to alert the receiver to et al. 1989), and zebra danios, Brachydanio rerio (Chen ANIMAL BEHAVIOUR, 20 doi:10.1016/j.anbehaEcology and Evolutionary Biology, University of Toronto, 25 Harbordfrom males. The long-distance alerting and stimulating aspects of olfactory signals may combine to decrease the costs incurred by a female during the mate selection process and increase her probability of finding a mate during her period of peak receptivity (Real 1990; Jumper

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.114
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.8860.819

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 head0.012
GPT teacher head0.214
Teacher spread0.202 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2014
Admission routes1
Has abstractyes

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Same topicInorganic Chemistry and MaterialsFrench-language works237,207