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Record W2205248393

A novel cassette holder for head and cervical spine radiography

2008· article· en· W2205248393 on OpenAlexaff
Nukool Seekla, Kwanchai Ratanasthien, Utumma Maghanemi

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Radiotherapy Techniques
Canadian institutionsInnovation Cluster (Canada)
Fundersnot available
KeywordsCervical spineHead (geology)MedicineRadiographyOrthodonticsNuclear medicineRadiologyGeologySurgery
DOInot available

Abstract

fetched live from OpenAlex

Cassette holders are useful equipment assisting in diagnostic radiography of various body parts for suitable radiograms and reduction of unnecessary dose for the people in the working area. In our country, the cassette holders are expensive and mainly imported Therefore, some diagnostic unit order to make them from metal or other materials. The made to order cassette holders types and quality depends on the quality and skill of both producer and designer. The main purposes of this research are designing and producing the cassette holder from poly - acrylic sheet of 6 mm. thickness which is suitable because of its strength and low x-ray attenuation for head and cervical spine radiography. The design of the cassette holder was adjusted for holding the 10x12 inch or 25.4x30.5 cm. cassette with 2 cm. space to be used for left and right lateral radiation by inverting the cassette. The cassette holder can also be used for AP, PA and supine techniques. The test radiogram of acrylic sheet with aluminum step wedge and head exposure technique using head unit tissue equivalent phantom showed no significant different on the radiograms. Satisfaction of users was studied and showed good to excellent level amongst the technicians and radiological technologists. These results indicated that our design and simple technique to create a novel cassette holder for head and cervical spine radiography. It was worker friendly in any diagnostic radiology unit and feasible to order for production from every plastic work supplier. Bull Chiang Mai Assoc Med Sci 2008; 41: 175-186.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.004

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 head0.198
GPT teacher head0.536
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 designBench or experimental
Domainnot available
GenreMethods

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

Citations1
Published2008
Admission routes1
Has abstractyes

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