A MOBILE COMPUTING TOOL FOR COLLECTING CLINICAL OUTCOMES DATA FROM SHOULDER PATIENTS
Bibliographic record
Abstract
The collection of outcomes data is critical for conducting clinical studies in orthopaedic surgery. Both subjective outcome data [e.g. Short Form-12 (SF-12) and Western Ontario Rotator Cuff (WORC) index] and objective data (e.g. range of motion) are necessary. Numerous studies have been conducted on the collection of patient survey data through electronic means (e.g. personal digital assistant and tablet PC), but none of these studies have made use of a device with an intuitive touch-screen interface. Studies have also been conducted on the collection of physical examination data through research-grade accelerometers but few have focused on the use of commercially available electronic devices. The goal of our project was to develop a mobile computing touch-screen system for capturing subjective and objective outcome data for the assessment of patients with rotator cuff tears. We were able to accomplish this goal through the development of a novel iPad/iPod Touch tool. Intra-rater and inter-rater reliability of shoulder flexion and external rotation measurements were good.
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 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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".