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Record W7097717749

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2010· article· en· W7097717749 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicHearing, Cochlea, Tinnitus, Genetics
Canadian institutionsnot available
Fundersnot available
KeywordsOxymetazolineChinchillaAnimal modelOtotoxicityAnimal studyDorsum
DOInot available

Abstract

fetched live from OpenAlex

Sponsorships or competing interests that may be relevant to content are dis-closed at the end of this article. Objective. To investigate possible ototoxic effects of a one-time application of oxymetazoline drops in a chinchilla animal model with tympanostomy tubes. Study Design. A prospective, controlled animal study. Setting. The Research Institute of the Montreal’s Children Hospital, McGill University Health Centre. Subjects and Methods. Ventilation tubes were inserted in both ears of 12 animals. One ear was randomly assigned to receive oxymetazoline drops (0.5 mL). The contralateral ear did not receive any drops, serving as a control ear. Outcome Measures. Distortion product otoacoustic emis-sions were measured bilaterally for a wide range of frequen-cies (between 1 and 16 kHz) before and 1 day after the application of oxymetazoline in the experimental ears. Two months later, the animals were sacrificed and all cochleae were dissected out and processed for scanning electron microscopy. Results. In this established chinchilla animal model, the mea-sured distortion product otoacoustic emission amplitudes and the morphological appearance on scanning electron micro-scopy were similar for both control and experimental ears. Conclusion. Oxymetazoline did not cause ototoxicity in a chinchilla animal model 2 months after a single application via a tympanostomy tube.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.101
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8990.736

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 head0.039
GPT teacher head0.300
Teacher spread0.262 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2010
Admission routes1
Has abstractyes

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