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Record W2016036829 · doi:10.1097/jes.0b013e318168f1ce

Does Startle Explain the Exaggerated First Response to a Transient Perturbation?

2008· review· en· W2016036829 on OpenAlexaff
Gunter P. Siegmund, Jean‐Sébastien Blouin, J. Timothy Inglis

Bibliographic record

VenueExercise and Sport Sciences Reviews · 2008
Typereview
Languageen
FieldNeuroscience
TopicMotor Control and Adaptation
Canadian institutionsInternational Collaboration On Repair DiscoveriesAdvantage Forensics (Canada)University of British Columbia
Fundersnot available
KeywordsHabituationStartle responseMoro reflexPsychologyStartle reactionReflexTransient responseNeuroscienceAudiologyMedicine

Abstract

fetched live from OpenAlex

In Brief Here we review recent experimental evidence suggesting that exaggerated muscle response to an unfamiliar transient perturbation consists of combined postural and startle responses. Summation of these two independent responses explains the experimental data and suggests that habituation consists of the extinction of the startle response leaving only the postural response. Recent evidence suggests that combined postural and startle responses produce the exaggerated first response to unfamiliar transient perturbations.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.004

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 head0.077
GPT teacher head0.320
Teacher spread0.244 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations38
Published2008
Admission routes1
Has abstractyes

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