Sonographic Detection of the Normal Appendix
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".