Bibliographic record
Abstract
The main functions of the upper respiratory system are to act as a filter and provide heat and humidity to the air before it reaches the lungs. The upper respiratory system includes the nostrils, rhino-pharynx, oropharynx, larynx, and the middle cavity of the ear through the Eustachian tube, which represents the most diverse microbiome site with more bacterial species than the digestive tract. The mucous surfaces of these areas are colonized by a wide range of bacteria belonging to the genera Firmicutes, Actinobacteria, Bacteroidetes, Proteobacteria , and Fusobacteria in humans (Santacroce, L, Charitos, I.A., Ballini, A. et al. (2020). The human respiratory system and its microbiome at a glimpse. Biology (Basel) 9 (10): 318. 10.3390/biology9100318). Each area in this system has its own features such as humidity, temperature, relative oxygen concentration, and specific type of epithelial cells. These environmental changes result in different microbiota colonizing each area (Vientós-Plotts, A.I., Ericsson, A.C., Rindt, H. et al. (2017). Dynamic changes of the respiratory microbiota and its relationship to fecal and blood microbiota in healthy young cats. PLoS One 12 (3): e0173818. 10.1371/journal.pone.0173818). Being the initial site for the introduction of microbes through respiration and ingestion, the commensal bacteria in these areas are the first responders against pathogens.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.051 | 0.018 |
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".