Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The chronic colonization of the lower airways by bacterial pathogens is the leading cause of morbidity and mortality in patients with cystic fibrosis (CF). Pseudomonas aeruginosa is the most common CF pathogen, followed by Staphylococcus aureus. Improvements in airway clearance and more effective treatment of the conventional CF pathogens has led to the emergence of new airway pathogens such as Stenotrophomonas maltophilia, Mycobacterium abscessus, and Achromobacter. More recently, it has become appreciated that the lower airways in patients with CF are colonized by a more complex polymicrobial community composed primarily of bacteria found in the upper respiratory tract. This includes obligate anaerobes, most commonly Prevotella. Expanded culturing methods and culture-independent molecular methods are being used to characterize the composition and dynamics of these polymicrobial communities in patients with CF. The contribution of the CF microbiome to airway disease is actively being investigated and will present new opportunities for disease management in CF. However, there remain many challenges that must be overcome if microbiome profiling is going to inform clinical practice.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it