MétaCan
Menu
Back to cohort
Record W2051643304 · doi:10.1038/clpt.2013.178

Challenges in Interpreting the Evidence for Genetic Predictors of Ototoxicity

2013· letter· en· W2051643304 on OpenAlexfundno aff
Mark J. Ratain, Nancy J. Cox, Tara O. Henderson

Bibliographic record

VenueClinical Pharmacology & Therapeutics · 2013
Typeletter
Languageen
FieldNeuroscience
TopicHearing, Cochlea, Tinnitus, Genetics
Canadian institutionsnot available
FundersNational Institutes of HealthNational Institute of General Medical SciencesUniversity of British ColumbiaGenome Canada
KeywordsOtotoxicityClinical pharmacologyPsychologyMedicinePharmacologyInternal medicineCisplatin

Abstract

fetched live from OpenAlex

There has been recent controversy regarding predictors of cisplatin-induced ototoxicity in children, as highlighted in a previous issue of this journal. We have reviewed the two articles that purport to show an association between TPMT and COMT variants and ototoxicity, as well as the related patent applications dating back to 2006. We summarize statistical issues not fully addressed by the authors that appear to have confounded the results of their studies.

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)0.077
metaresearch head score (Gemma)0.350
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.077
Threshold uncertainty score0.406

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0770.350
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0040.003
Science and technology studies0.0020.009
Scholarly communication0.0050.008
Open science0.0060.003
Research integrity0.0130.023
Insufficient payload (model declined to judge)0.0030.003

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 head0.491
GPT teacher head0.488
Teacher spread0.003 · 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
GenreCommentary

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

Citations19
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueClinical Pharmacology & TherapeuticsSame topicHearing, Cochlea, Tinnitus, GeneticsFrench-language works237,207