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Record W2146685566 · doi:10.1093/ilar.50.1.43

Communication of Adult Rats by Ultrasonic Vocalization: Biological, Sociobiological, and Neuroscience Approaches

2009· article· en· W2146685566 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueILAR Journal · 2009
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsBrock University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNeuroscienceNucleus accumbensDopaminergicForebrainNeurochemicalDopaminePsychologyVentral tegmental areaNeuroethologyBiologyCentral nervous system

Abstract

fetched live from OpenAlex

Rats have developed antipredator defensive adaptations to protect themselves from the large number of animals that prey on them. One such adaptation is the ability to communicate by ultrasonic vocalization, which decreases the likelihood of detection by a predator. Almost all rat vocalizations are inaudible to the human ear as well, so laboratory studies of ultrasonic vocalization require specialized electronic equipment. The most popular of these is the bat detector, which lowers ultrasonic frequency to a humanly audible frequency. Adult rats emit two types of ultrasonic calls: alarm (22 kHz) calls, in aversive and dangerous situations, and appetitive (50 kHz) calls, in appetitive or "friendly" (i.e., nonaggressive) behavioral situations. These two types of calls differ in all acoustic parameters, and their initiation depends on activity in different ascending tegmental pathways to the forebrain: 22 kHz calls require activity in the cholinergic system, and 50 kHz calls in the mesolimbic dopaminergic system. The release of acetylcholine in the diencephalon and forebrain is associated with the emission of 22 kHz vocalizations, and the release of dopamine in the nucleus accumbens with 50 kHz calls. Thus the two calls are reliable predictors of increased cholinergic or dopaminergic activity in the brain. The calls serve as indices of the rat's state, including its affective state, induced by activity of one or the other neurochemical system.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.777
Threshold uncertainty score0.274

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.088
GPT teacher head0.335
Teacher spread0.246 · 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