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Record W2352899937

Anatomy analysis of Jaw trabecular bone subtle structure using Micro CT

2011· article· en· W2352899937 on OpenAlexaff
Hongbing Shi

Bibliographic record

VenueChina Medicine and Pharmacy · 2011
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging Techniques and Applications
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsCondyleMedicineTrabecular boneAnatomyVolume (thermodynamics)PixelOrthodonticsNuclear medicineOsteoporosisPathology
DOInot available

Abstract

fetched live from OpenAlex

Objective The purpose of this study morphological parameters of the three dimensional microstructure for mandibular trabecular bone which were measured with Micro CT. Methods A total of 10 patients with mandibular condyle specimen were divided into two types of trabecular bones, condyle and mandibular body. Ten volume of interests were created in each group and the total of twenty were measured. The mean value and standard deviation of each parameter in each reconstruction pixel size were calculated. Repeated ANOVA test was used to determine whether significant differences in the values from each parameter existed among the regions(P 0.05) and the following results were drawn. Results The bone volume andbone volume fraction values from the mandibular body group when compared to 18μm pixel groupwere significant at all reconstruction pixel size.In condyle group, all pixel sizes greater than 36 um were significant(P 0.05), but no differences were noted from pixel size at 36μm(P 0.05). The trabecular thickness and trabecular number from both condyle and mandibular body group were significant at all reconstruction pixel sizes(P 0.05). Conclusion Several parameters of Micro CT have shown that it is effective aproach for evaluation without intrinsic structure damage.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.222
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.067
GPT teacher head0.390
Teacher spread0.323 · 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.

Study designBench or experimental
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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