Comment on Home et al. Insulin Therapy in People With Type 2 Diabetes: Opportunities and Challenges? Diabetes Care 2014;37:1499–1508
Bibliographic record
Abstract
We have read the article recently published by Home et al. (1). This report conveys an important perspective on insulin therapy in patients with type 2 diabetes by a working party of diabetes specialists and comments on optimal insulin management of individuals with this condition. The purpose of this group was to summarize the current published data and review the “evidence and circumstances in which insulin can be used” and “consider individualized choices of alternatives and combination regimens” (1). However, as the emergence of clinical evidence can be fluid and dynamic, the omission of significant new findings from very recent studies might occur. This occurred with the present article as concurrent with its publication a late-breaking study on the use of continuous subcutaneous insulin infusion (CSII) in people with type 2 diabetes was presented at the American Diabetes Association 2014 Scientific Sessions in San Francisco and recently published online in The Lancet …
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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 | 0.005 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.045 | 0.039 |
| Insufficient payload (model declined to judge) | 0.006 | 0.007 |
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".