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Record W2026508632 · doi:10.1056/nejmct0706268

Cochlear Implants for Children with Severe-to-Profound Hearing Loss

2007· review· en· W2026508632 on OpenAlex

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

VenueNew England Journal of Medicine · 2007
Typereview
Languageen
FieldNeuroscience
TopicHearing, Cochlea, Tinnitus, Genetics
Canadian institutionsUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsMedicineAudiologyCochlear implantCochlear implantationProfound hearing lossHearing lossSensorineural hearing lossCongenital hearing loss

Abstract

fetched live from OpenAlex

A 4-month-old baby girl whose parents and 6-year-old brother have severe-to-profound sensorineural hearing loss is referred for consideration for cochlear implantation. Each of the baby’s parents had previously received a cochlear implant in adulthood, and her older brother had received a cochlear implant at 18 months of age. The family uses oral communication in the English language. The baby had been diagnosed with sensorineural hearing loss during newborn screening, and she was fitted with bilat-eral hearing aids without clinically significant benefit. Bilateral profound sensori-neural hearing loss, with pure-tone thresholds of 100 dB or higher, is confirmed and a homozygous mutation in the connexin 26 gene (GJB2) is identified. It is recommended that the child undergo auditory-verbal therapy followed by implantation of a unilat-eral cochlear implant at 12 months of age. THE CL INIC A L PROBLEM Sensorineural hearing loss affects 1 to 3 of every 1000 children born in the United States and other developed countries1,2; the rate is probably higher in the developing world.3 In most cases, the hearing loss is nonsyndromic (i.e., it is not associated with

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.123
GPT teacher head0.388
Teacher spread0.265 · 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