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Record W2586718047

Tajemniczy kod wokalnego porozumiewania się szczurów

2016· article· pl· W2586718047 on OpenAlex
Stefan M. Brudzyński

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.

Bibliographic record

VenueWszechświat · 2016
Typearticle
Languagepl
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsBrock University
Fundersnot available
KeywordsALARMAlarm signalAcousticsNest (protein structural motif)Siren (mythology)CommunicationFeature (linguistics)AudiologyPsychologyPhysicsMedicineEngineeringHistoryElectrical engineering
DOInot available

Abstract

fetched live from OpenAlex

The article reviews the main types of ultrasonic vocalizations emitted by both newborn and adult rats, as well as biological situations in which they appear. Newborn pups emit separation calls when they fell out of the nest. These vocalizations have variable acoustic parameters but their dominating feature is fluctuating frequency similar to the ambulance siren. This feature enables mother to localize the pup and bring it back to the nest. Adult rats produce two basic types of ultrasonic vocalizations: (1) alarm vocalizations (or 22 kHz calls) that are emitted in the proximity of a predator or other aversive, dangerous situations, as well as (2) affiliative  vocalizations (or 50 kHz calls) associated with positive social intreactions. The 50 kHz calls have complex acoustic structure and may be further subdivided into several subtypes with suggested biological roles in social behavior. The most frequent subtypes are “flat” 50 kHz calls with constant frequency, step calls with rapid jumps of frequency, and trills.

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 categoriesMeta-epidemiology (narrow), Insufficient 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0330.029

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 head0.028
GPT teacher head0.326
Teacher spread0.298 · 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