We are Addicted to Vitamins C and E-A Review
Bibliographic record
Abstract
A Canadian researchers team led by Dr. GC Willis, found that heart diseases are caused by hidden forms of scurvy and chronic and can be cured with high doses of vitamin C without heart surgery and drug treatments costly and with effects devastating side in organic plan. But the process of healing cardiovascular disease with vitamin C is not approved by the medical institutions and the pharmaceutical industry, which earns billions of dollars in surgeries and drugs that are used in allopathic therapies for various cardiac diseases. Canadian scientist discovery was confirmed in the late 80 s by Dr. Linus Pauling, Nobel laureate, the most noted human of his time. The medical care developed by Dr. Pauling include vitamin C with added lysine (amino acid nutritional qualities, existing in most plant and animal proteins) and it works cleanly, healing cardiopathy once thought were incurable. Dr. Pauling medical care records healing miracles coronary diseases. It had been identified back then that vitamin C deficiency within the body weakens human arteries by forming induration of the arteries plaques (infiltration of the walls of the artery and arteries with fat), that blocks blood circulation. This paper aims to spotlight the importance of vitamin C for the treatment and prevention of circulatory diseases especially. The daily minimum demand of vitamin C at tissues and cells level for a healthy person is: 75 mg/day women, 90 mg/day for men, 100 mg/day smokers. But always need a bigger tank because these amounts could reach all tissues and cells of a healthy organism: about 500-1000 mg/day. When the body is disturbed or ill, quantities required to repair cells, are much higher 5000-10000 mg/day.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".