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Record W2354064325

Randomized comparison study on the effectiveness of Hawley and vacuum-formed retainers

2011· article· en· W2354064325 on OpenAlexaff
Qi Li

Bibliographic record

VenueChinese Journal of Aesthetic Medicine · 2011
Typearticle
Languageen
FieldHealth Professions
TopicOccupational health in dentistry
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsRetainerArchSignificant differenceOrthodonticsMedicineDentistryMaterials scienceMathematicsComposite materialStructural engineeringStatisticsEngineering
DOInot available

Abstract

fetched live from OpenAlex

Objective To compare the effectiveness of vacuum-formed and Hawley retainers.Methods Sixty-eight patients who had received treatment with upper and lower fixed appliances were randomly assigned either a Hawley or a vacuum-formed retainer.Study models were fabricated for each patient on day of debond,6 months,and 12 months after debond.Four variables were measured,these were upper and lower intermolar widths,intercanine widths,arch length,and a modified Little's index of irregularity.Results For each of the variables under test and at each of the four time periods,there were no statistically significant differences(a =0.05) between each of the two retainers,vacuumformed and Hawley.Conclusion There is no statistical significant difference in the measured arch width,arch length,or Little's index over a 12-month period between Hawley and vacuum-formed retainers when worn full-time.Therefore other factors may be more important when deciding on the most appropriate form of retainer to be used.

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)0.007
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.136
GPT teacher head0.474
Teacher spread0.338 · 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 designRandomized trial
Domainnot available
GenreEmpirical

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

Citations0
Published2011
Admission routes1
Has abstractyes

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