REVIEW OF INTERNATIONAL PROJECTS IN А FIELD OF HUMAN MICROBIAL ECOLOGY AND CONSTRUCTION OF PROBIOTICS
Bibliographic record
Abstract
Modern huge and world-wide known projects concerning studying of human microbial ecology and construction of probiotics, particularly: Society for Microbial Ecology and Disease, Probiotics & Health Targeted Initiative of International Science and Technology Center (TI PROBIO ISTC), Human Microbiome Project of National Institutes of Health, MetaHIT Project (Metagenomics of the Human Intestinal Tract) of European Commission, Human Metabolome Project of Canadian University of Alberta and some more else were characterized in the article. Brief historical information and reference to official sites of every discussed project were given. Main goals and tasks of every project were described. Short characteristic of discussed projects and also modern accessible results of researches were given. Importance of every examined project for widening scientific knowledge in the field of human microbial ecology and also for improvement and/or for construction of modern effective probiotics on basis of human normal intestinal microflora were paid attention. Close interaction of scientific data received by realization of every discussed project was shown.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".