Bibliographic record
Abstract
The Diabetes Code: Prevent and Reverse Type 2 Diabetes Naturally BY JASON FUNG Publisher: Greystone Books, Vancouver, British Columbia, Canada Publication date: 3 April 2018 Cost: $12.99 Type 2 diabetes is a highly complex health condition with many possible treatment options. In recent years, very-low-carbohydrate diets that include frequent intermittent fasting have emerged as a way to not only treat type 2 diabetes, but also reverse it. Whether reversing type 2 diabetes is possible is highly contentious among medical professionals and scientists, but there is certainly more acknowledgment that “pausing” diabetes or putting it “in remission” is possible. Jason Fung, a Canadian nephrologist, believes unequivocally that, yes, type 2 diabetes can be reversed, and his book, The Diabetes Code: Prevent and Reverse Type 2 Diabetes Naturally , is an instruction manual on just how to do it. The book begins with a detailed history and explanation of how type 2 diabetes has become the epidemic of the 21st century …
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.141 | 0.107 |
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".