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Record W7070899544

Protocol for Universal Newborn Hearing Screening in Ontario

2019· article· en· W7070899544 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2019
Typearticle
Languageen
FieldNeuroscience
TopicHearing, Cochlea, Tinnitus, Genetics
Canadian institutionsnot available
Fundersnot available
KeywordsProtocol (science)Christian ministryHearing lossIntervention (counseling)Newborn screeningMEDLINE
DOInot available

Abstract

fetched live from OpenAlex

This document describes the Ontario Infant Hearing Program’s (IHP) protocol for universal newborn hearing screening (UNHS) of newborns and infants. It overrides all previous protocols on this subject provided by the IHP. The primary audience for this protocol is those who conduct newborn hearing screening within the IHP. All newborn and infant hearing screening funded by the Ontario Ministry of Children, Community and Social Services (MCCSS) must be carried out in full accordance with this protocol. It is based on continuous review of the best available scientific and clinical evidence and expert consultation complemented by consultation and collaboration with other major Early Hearing Detection and Intervention (EHDI) programs in Canada and worldwide.

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)0.030
metaresearch head score (Gemma)0.044
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.657
Threshold uncertainty score0.683

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.044
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.003
Science and technology studies0.0070.002
Scholarly communication0.0030.001
Open science0.0040.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.1450.029

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 head0.236
GPT teacher head0.361
Teacher spread0.125 · 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
GenreProtocol

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

Citations1
Published2019
Admission routes1
Has abstractyes

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