The Impact of Ontario's Bariatric Network on Health Services Utilization following Bariatric Surgery
Bibliographic record
Abstract
In 2009, the Ontario Bariatric Network (OBN) was created to address the increasing demand for out-of-country bariatric services. This study evaluated the impact of the OBN on postoperative hospital services use among Ontario residents who received bariatric surgery. A retrospective, before-and-after study was conducted. All Ontario residents who underwent funded first-time bariatric surgery were included. Hospital services use within one year following surgery was compared between the 3-year periods before (2007-2009) and after (2010-2012) the OBN. A total of 5,617 and 6,896 patients received bariatric surgery before and after the OBN, respectively. After adjustment, the OBN was associated with fewer postoperative hospital services (RR 0.83, 95%CI 0.78-0.89, P%%%%M.Sc.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".