Language Identification Strategies for Cross Language Information Retrieval.
Bibliographic record
Abstract
Androgen ablation (AA) therapy is one of the modalities used to treat prostate cancer. It is well known that AA therapy increases the risk of osteoporosis and fractures. In 2004, the British Columbia Cancer Agency published guidelines regarding bone health in these patients. A key recommendation was to arrange for bone mineral density (BMD) testing if AA was to be used for 6 mo or longer. Our objective was to evaluate how well these guidelines were implemented by reviewing the number of BMDs performed in patients who had been treated at one of the 4 cancer centers in British Columbia. We found that the overall number of BMDs documented after the implementation of the guidelines was significantly greater than the number documented before (25% vs 7.5%, p value < 0.0001). There appeared to be regional differences in implementation, with the greatest effect seen at the Vancouver center, which serves as the chief academic center for the province. The greater effect of guidelines at this center suggests a need for more effective dissemination peripherally. The care gap remaining at even the most impacted center indicates a need for greater efforts to both implement guidelines and monitor their implementation over time.
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 | 0.000 | 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 | 0.001 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".