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Universal Screening of Young Children for Developmental Disorders: Unpacking the Controversies

2018· report· en· W4254794090 on OpenAlexaboutno aff
Ina Wallace

Bibliographic record

Venuenot available
Typereport
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
FundersAgency for Healthcare Research and QualityRTI InternationalU.S. Department of Health and Human Services
KeywordsTask forceAutism spectrum disorderIntervention (counseling)Task (project management)MedicineAutismPsychologyFamily medicinePsychiatryPolitical science

Abstract

fetched live from OpenAlex

In the past decade, American and Canadian pediatric societies have recommended that pediatric care clinicians follow a schedule of routine surveillance and screening for young children to detect conditions such as developmental delay, speech and language delays and disorders, and autism spectrum disorder. The goal of these recommendations is to ensure that children with these developmental issues receive appropriate referrals for evaluation and intervention. However, in 2015 and 2016, the US Preventive Services Task Force (USPSTF) and the Canadian Task Force on Preventive Health Care issued recommendations that did not support universal screening for these conditions. This occasional paper is designed to help make sense of the discrepancy between Task Force recommendations and those of the pediatric community in light of research and practice. To clarify the issues, this paper reviews the distinction between screening and surveillance; the benefits of screening and early identification; how the USPSTF makes its recommendations; and what the implications of not supporting screening are for research, clinical practice, and families.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.902
Threshold uncertainty score0.809

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.024
GPT teacher head0.278
Teacher spread0.254 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations10
Published2018
Admission routes1
Has abstractyes

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