Bibliographic record
Abstract
The Sport Medicine Diagnostic Coding System (SMDCS) was developed in 1991 in response to the need for a classification system that could capture detail relevant to sport-related injury. It employs a 6 character structure with 1 pair of digits for each of the body region, the structure, and the diagnosis. This format permits sorting of data on the basis of any pair of digits to allow analysis of the body region, the structure, and the diagnosis type. They can also be combined to search for unique diagnoses. These codes have been used in a clinical setting since inception and have also been used in studies on sport injury surveillance and injury prevention. A number of organizations currently use this system in their ongoing surveillance. With the publication of recent consensus statements on injury data collection in the sports of football (soccer) and rugby, the SMDCS has been updated with new data columns to "cross map" the SMDCS to the broader consensus categories. This manuscript is accompanied by a downloadable data file to enable other groups to use the SMDCS for their own purposes.
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 | 0.019 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".