Bibliographic record
Abstract
Advances in bronchoscopy have contributed valuable tools to the diagnosis and staging of lung cancer. Detection of lesions at the premalignant microscopic stage has become possible with autofluorescence bronchoscopy and narrow band imaging. Bronchoscopy also allows for sampling of visible intra-bronchial lesions and for transbronchial needle aspiration of lesions in pulmonary parenchyma. With endobronchial ultrasound guidance, real-time evaluation and biopsy of mediastinal and pulmonary lesions can be achieved, enabling accurate clinical and pathological T-staging and N-staging without the need for surgery. In combination with advanced imaging techniques, Navigational bronchoscopy allows for the targeting and biopsy of the most peripheral lesions that are located in the smallest airways. For patients in whom tumor genetics are important, bronchoscopic-guided transbronchial biopsy can provide sufficient material for molecular analysis. As minimally invasive technology continues to evolve and improve, bronchoscopic techniques are poised to continue to be essential for the diagnosis and staging of lung cancer.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".