Bacteria are our friends: We are living with them
Bibliographic record
Abstract
Bacteria are a constant part of human life. Not only companions, their number is so high that it is frightening to hear. With tiny cells made up of the human body, buildings are built just like brick after brick. Not only is the number of bacteria more than that of the cell, it is about 10 times more. That was the idea for so many days. But recent new research shows that the number of bacteria is actually much lower than expected. About 10 times less. This means that the number of bacteria is almost equal to the number of cells in the human body. A team of researchers from Israel and Canada reported the new information. They estimate that the number of bacteria in the human body is about 40 trillion. The number of cells in the human body is about 30 trillion. That is 1.3 times the number of bacteria compared to the cell. The amount of bacteria in the body of girls is higher than that of boys. This is because the concentration of red blood cells in the body of girls is lower than that of boys. For this reason, the number of bacteria in the body of girls is more than that of boys. About 39 trillion bacteria (out of 40 trillion) in the body live in our colon. Such a huge amount of bacteria is in the colon weighing only half a kilogram. Since most of the bacteria are located in the colon, about 1/3 of the bacteria are eliminated from the body during our bowel movements. Now the question is, does the release of such a large number of bacteria cause any adverse effects on our body? The answer is no. This is because the bacteria present in the body are constantly engaged in reproduction. That is, just as much bacteria are expelled, almost the same amount of bacteria is born in a short time. These are huge numbers of bacteria, but these are essential for our body. These 40 trillion bacteria are our daily companions, so they are our friends. We are traveling with so many friends, just think!
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.143 | 0.091 |
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".