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Record W1587993503

Filled duration lengthening takes place in a sound preceded by a more intense sound

2011· article· en· W1587993503 on OpenAlexaffvenue
Tsuyoshi Kuroda, Simon Grondin

Bibliographic record

VenueCanadian acoustics · 2011
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsTone (literature)AcousticsStandard deviationPsychometric functionStimulus (psychology)MathematicsPure toneNoise (video)Duration (music)AudiologyStatisticsSpeech recognitionPsychologyPhysicsPsychophysicsComputer sciencePerceptionMedicine
DOInot available

Abstract

fetched live from OpenAlex

A study that employs the method of constant stimuli to examine whether or not the sine tone would be overestimated when it was followed by the noise is presented. The noise was 6 dB higher than the standard tone. The comparison tone was always without any noises. The standard pattern and the comparison tone were presented in two types of order: The standard pattern preceded the comparison tone in the standard-comparison type, and vice versa in the comparison-standard type. A silent interval, which was varied from 2000 to 3000 ms randomly, was placed before the beginning of stimulus presentation and was inserted between the standard pattern and the comparison tone. The probability that the comparison was perceived as longer was calculated for each comparison duration to make 8-point psychometric functions for each configuration and for each order.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
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)0.0020.000

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 head0.059
GPT teacher head0.259
Teacher spread0.200 · 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 designObservational
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
Published2011
Admission routes2
Has abstractyes

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