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Record W2890704707 · doi:10.1101/412353

Chemical signatures of honey bee group membership develop via a socially-modulated innate process

2018· preprint· en· W2890704707 on OpenAlexaff
Cassondra Vernier, Joshua J. Krupp, Katelyn Marcus, Abraham Hefetz, Joel D. Levine, Yehuda Ben‐Shahar

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2018
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect and Arachnid Ecology and Behavior
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHoney beeBiologyGestalt psychologyInsectCommunicationHoney BeesEvolutionary biologyEcologyPsychologyNeurosciencePerception

Abstract

fetched live from OpenAlex

Abstract Large social insect colonies exhibit a remarkable ability for recognizing group members via colony-specific cuticular hydrocarbon (CHC) pheromonal signatures. Previous work suggested that in some ant species colony-specific signatures are generated through a “gestalt” mechanism via the passive transfer and homogenization of CHCs across all individual members of the colony. In contrast, we demonstrate that nestmate recognition cues of worker honey bees ( Apis mellifera ) mature in foragers via a sequence of stereotypic age-dependent quantitative and qualitative chemical transitions, which are driven by intrinsic biosynthetic pathways. Therefore, in contrast to predictions of the “Gestalt” model, nestmate recognition cues in honey bee colonies do not represent a passive “average” signature that is carried and recognized by all colony members. Instead, specific colony members develop the relevant cues via an innately-determined developmental program that can be modulated by colony-specific social environmental factors.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.234
Teacher spread0.224 · 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 designBench or experimental
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
Published2018
Admission routes1
Has abstractyes

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