A new era for bronchioloalveolar carcinoma: current state of the art and recent advances in biologically targeted therapy
Bibliographic record
Abstract
Bronchioloalveolar carcinoma is a fascinating and unusual variant of nonsmall-cell lung cancer that has a tendency towards an indolent course and to metastasize to the lung rather than distant organs. Chemotherapy has shown activity in advanced bronchioloalveolar carcinoma but response rates remain low. Epidermal growth factor receptor tyrosine kinase inhibitors have shown impressive activity against bronchioloalveolar carcinoma in trials. New data suggest that epidermal growth factor receptor mutations and gene copy number may predict subsets of patients who could most benefit from these novel agents. These new findings may point the way to a new era in which we can predict which patients will respond to epidermal growth factor receptor tyrosine kinase inhibitors and thus allow us to tailor therapy to the individual patient.
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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 | 0.001 |
| 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".