Bibliographic record
Abstract
Cancer has become one of the most dreadful life style disease causing morbidity and mortality globally and India is topping the world. But the real fact is “Cancer is one of the most curable diseases in this world today”. In 2007 over 12 million new cases were diagnosed across the planet and approximately 7.6 million cancer deaths occurred. By 2050, these numbers will rise to an expected 27 million new cases and 17.5 million cancer deaths if our ability to prevent, diagnose and treat cancer does not improve. Cancer is already the leading cause of death in Canada, Australia, and it's number 2 in Great Britain. In 5 years cancer is expected to be the leading cause of death in USA. For more than 10 years we at Wellness Solutions have embraced rational cancer therapies proven both effective and minimally damaging to normal tissues and thus we have encouraged synergism between restorative therapies like Nutritional therapy, Ozone therapy and restrained Conventional Cancer therapy. We have found the best results in the combination of Personalized health assessment, Ozone therapy, parenteral nutrients, Oral nutrients and other Conventional management. We use simultaneous high dose of Vitamin C, Major Auto Haemo Therapy (MAHT) for more than hundreds of cases with much better results than any modes of conventional and alternate therapy. High doses of Vitamin C with Ozone therapy have given better results than any chemotherapy protocols. Dr. Otto Warburg (1931 - 1944) proposed the link between Oxygen and Cancer. Various researches have spent millions of dollars searching for causes of cancer and has reached nowhere. According to Dr. Warburg search for carcinogen is useless without correcting the oxygen deprivation. 60% deprivation of oxygen in a cell will cause stress leading to disturbance in oxidation/reduction and uncontrolled cell division. We have experiences in more than 100 cancer cases in the last two years. So, in integrated approach for cancer management Ozone therapy has a very prominent and decisive role for the maintenance of high quality of health and life.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".