Bibliographic record
Abstract
is being considered. Some guidelines recommend giving parenteral thiamine during unplanned emergency department or hospital admissions for all patients with heavy alcohol use or malnutrition. Thiamine replacement should be incorporated into institutional alcohol withdrawal treatment protocols and also into clinical guidelines for management of alcohol withdrawal. 5 While we are not aware of any validated risk scores to predict WE, a structured risk assessment may increase rates of thiamine prescribing. he patient described in our article 1 had a history of heavy alcohol use and experienced acute onset of confusion shortly after bowel resection, which could be consistent with a diagnosis of WE. Fortunately, his risk for WE was recognized by a hospital dietician and he was provided parenteral thiamine after his first anastomotic leak. Parenteral thiamine treatment was then continued as part of the institutional alcohol withdrawal treatment protocol. His delirium lasted a few weeks, but he eventually recovered and returned to independent function and cognition. While we believe his delirium was largely attributable to his postoperative infection, WE is also a possibility. It is therefore important that the patient was treated up front with both antibiotics and parenteral thiamine.
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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 | 0.011 | 0.132 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.488 | 0.396 |
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".