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Record W2110410796 · doi:10.1177/8756479304267641

Sonographic Detection of the Normal Appendix

2004· article· en· W2110410796 on OpenAlexaff
Ted Scott, Hans Swan, Eric Jurriaans, Michael Voss

Bibliographic record

VenueJournal of diagnostic medical sonography · 2004
Typearticle
Languageen
FieldMedicine
TopicAppendicitis Diagnosis and Management
Canadian institutionsSt. Joseph’s Healthcare HamiltonMohawk College
Fundersnot available
KeywordsMedicineVisualizationSignificant differenceLumen (anatomy)Harmonic meanNuclear medicineBiomedical engineeringStatisticsArtificial intelligenceSurgeryMathematicsInternal medicineComputer science

Abstract

fetched live from OpenAlex

The purpose of this study was to determine if the application of tissue harmonic imaging (THI) and real-time spatial compounding (RTSC) would result in a significant difference in the rate of detection and quality of visualization of the normal appendix. Subjects were scanned using the experimental method (the combination of THI and RTSC) and the conventional method (without THI and RTSC). The rate of detection was 85% with the experimental method and 66% with the conventional method. The quality of visualization was measured across three scales—visualized length, walls, and lumen—with a total score equal to the sum of the three scales. The experimental method demonstrated a significant difference in visualized length and total score. The mean score for length using the conventional method was 2.18 compared with 2.56 for the experimental method. The mean score for all three scales for the conventional method was 7.97 compared with 8.67 for the experimental method.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.167
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.242
Teacher spread0.235 · 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.

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

Citations5
Published2004
Admission routes1
Has abstractyes

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