Mobile Endoscopy vs Video Tower
Bibliographic record
Abstract
OBJECTIVE: To determine if any significant difference exists between endoscopic videos captured with a mobile adaptor and videos captured with a traditional tower. STUDY DESIGN: Prospective controlled blinded comparison of mobile endoscopic videos captured through 2 methods. METHODS: Thirty randomly selected patients underwent video endoscopy with both mobile and video tower recording methods. Sixty videos were edited into a series of 10-second clips. Thirteen otolaryngology staff and residents rated the video quality and provided a diagnosis for each video. RESULTS: We found no significant difference in the video quality ratings between mobile and tower videos (mean difference, -0.07; P < .37). Similarly, we found no significant difference in the observers' diagnostic accuracy (mean difference, 1.54%; P < .686). CONCLUSION: With adequate power, our study was unable to demonstrate a difference between mobile adapter videos and tower videos. Our findings suggest that mobile adapter videos may reasonably be used in lieu of tower videos in clinical practice.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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; both teacher heads agree on what is shown here.
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".