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Record W1855351316

Prevalencia de maloclusiones en la dentición primaria

2014· article· es· W1855351316 on OpenAlexaboutno aff
Olga Raquel Zambrano de Ceballos, Yanira Añez, Luis Eduardo Rivera Velázquez, Juan A. Oliveira del Río, Judith Socorro Villalobos de García

Bibliographic record

VenueCiencia Odontológica · 2014
Typearticle
Languagees
FieldHealth Professions
TopicHealth and Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesMedicineArt
DOInot available

Abstract

fetched live from OpenAlex

O bjetivo: El proposito de este estudio fue determinar la prevalencia de maloclusiones en la denticion primaria de ninos entre 2 y 5 anos de edad. Materiales y Metodos: Se realizo un estudio epidemiologico, descriptivo, de corte transversal. Un total de 487 ninos entre 2 y 5 anos de edad, fueron seleccionados aleatoriamente de 7 centros de educacion inicial, nacionales, del municipio la Canada de Urdaneta, Estado-Zulia, Venezuela. Una evaluacion clinica realizada por dos examinadores (Kappa inter=0,79 Kappa intra= 0,89 y 0,85) permitio registrar las caracteristicas de la oclusion en sus relaciones intra e interarcada. Resultados: La prevalencia de falta de espacios de primates y crecimiento fue 59,5% y 50% respectivamente y 59,6% de apinamiento. Un 76,6%, de los ninos presento al menos una alteracion en la relacion inter-arcada: resalte aumentado 44%, mordida profunda 31%, relacion canina clase II 24% y la mordida cruzada posterior y la mordida abierta anterior ambos con 12%. Conclusiones: Los resultados de este estudio senalan una alta prevalencia de alteraciones de la oclusion en edades temprana, siendo posible predecir riesgo de maloclusiones en la denticion permanente.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.018
GPT teacher head0.397
Teacher spread0.379 · 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 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
Published2014
Admission routes1
Has abstractyes

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