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Record W7047138785

Evaluación del crecimiento del maxilar y la mandíbula con cefalometría de Harvold en radiografías cefalométricas en contraste con la etapa de crecimiento puberal basada en el análisis de Fishman en radiografías carpales obtenidas del Burlington Growth Centre.

2017· dissertation· en· W7047138785 on OpenAlexaboutno aff

Bibliographic record

VenueUSFQ Digital Repository (Universidad San Francisco de Quito) · 2017
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsMandible (arthropod mouthpart)Cephalometric analysisRadiographyCephalometryMaxillaBone growth
DOInot available

Abstract

fetched live from OpenAlex

The aim of this study was to assess the correlation between maxillary and mandibular growth with Fishman's pubertal development of the hand-wrist to determine the appropriate age for orthopedic treatment.
\nA sample of 40 patients was evaluated, each patient was evaluated at the ages of 9,12, 14 and 16 years, from the Burlintong Growth Center, of the University of Toronto Canada. Hand-wrist and cephalic radiographs were used to apply Harvold's cephalometric analysis and Fishman's carpal analysis.
\nThe results showed the correlation between maxillary and mandibular growth with the bone maturation phases of the Fishman analysis. The growth of men in the maxilar (H: 12.5% and M: 9.02%) as in the mandible (H: 15.5% and M: 9.85%) is different than the women, being greater in the masculine sex. The female sex shows a precocious maturation and in a shorter time than the masculine. The phases of maturation of Fishman, it was found that phase 6 is where maxillary (H: 5.13% and M: 5.72) and mandibular (H: 5.90% and M: 5.07) have a greatest growth, appearing at 12 years in women and at 14 years in men.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.262
Teacher spread0.257 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2017
Admission routes1
Has abstractyes

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