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Record W2504373088 · doi:10.1007/978-1-60761-953-6_7

A Simple and Effective Method to Condition Olfactory Behaviors in Groups of Zebrafish

2010· book-chapter· en· W2504373088 on OpenAlexaff
Oliver Braubach, Russell C. Wyeth, Andrew Murray, Alan Fine, Roger P. Croll

Bibliographic record

VenueNeuromethods · 2010
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicZebrafish Biomedical Research Applications
Canadian institutionsSt. Francis Xavier UniversityDalhousie University
Fundersnot available
KeywordsZebrafishPreferenceConditioningOlfactionNeuroscienceFood preferenceOlfactory systemConditioned place preferencePsychologyBiologyFood scienceMathematicsDopamine

Abstract

fetched live from OpenAlex

We describe a simple assay for studying and conditioning olfactory behaviors of adult zebrafish. The apparatus consists of a circular flow-through tank into which odorants can be administered in a controlled fashion. Odorants (conditioned stimuli; CS) are repeatedly paired with food flakes (unconditioned stimuli; UCS) that are provided inside a tethered floating feeding ring. In response to conditioning, zebrafish develop an odorant-dependent place preference and restrict appetitive swimming behavior to the vicinity of the feeding ring. This robust assay can also be conducted with groups of zebrafish and thus provides a potentially important tool for large behavioral screens.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.005

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 head0.021
GPT teacher head0.360
Teacher spread0.339 · 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
GenreMethods

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

Citations9
Published2010
Admission routes1
Has abstractyes

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