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Record W2222467216 · doi:10.1597/09-180.1

The Americleft Study: An Inter-Center Study of Treatment Outcomes for Patients with Unilateral Cleft Lip and Palate Part 1. Principles and Study Design

2011· article· en· W2222467216 on OpenAlexaff
Ross E. Long, Ronald R. Hathaway, John Daskalogiannakis, Ana Mercado, Marilyn Cohen, Gunvor Semb, William C. Shaw

Bibliographic record

VenueThe Cleft Palate-Craniofacial Journal · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCleft Lip and Palate Research
Canadian institutionsDalhousie UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineCenter (category theory)DentistryOrthodontics

Abstract

fetched live from OpenAlex

OBJECTIVE: The Americleft study is a North American initiative to undertake an intercenter outcome study for patients with repaired complete unilateral cleft lip and palate from five well-established North American cleft centers. DESIGN: Retrospective cohort study. SETTING: Five cleft palate centers in North America. METHODS: This is the first paper in a series of five that outlines the overall goals of the study and sets the basis for the clinical outcome studies that are reported in the following four papers. The five centers' samples and treatment protocols as well as the methods used for each study are reported. The challenges encountered and possible mechanisms to resolve them and reduce methodological error with intercenter studies are also reviewed.

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)0.005
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.055
GPT teacher head0.302
Teacher spread0.247 · 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

Citations132
Published2011
Admission routes1
Has abstractyes

Explore more

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