Bibliographic record
Abstract
SUMMARY RETROSPECTIVE ANALYSIS OF 407 PATIENTS WITH LUNG CANCER Aim: The aim of this study was to reveal the demographic and clinical characteristics of cases diagnosed as lung cancer in our hospital. Material and Methods: Data from a university hospital between 1993 and 2005 were retrospectively analyzed. Results: The study involved 369 (91%) men and 36 women. The mean age was 60 ± 10 years. Forty-one percent of the patients who had an acceptable spirometry had chronic obstructive pulmonary disease. The most useful diagnostic procedure were bronchial biopsy (62%) and bronchial aspirate (22%). The most common histopathologic subtypes were squamous cell carcinoma (51.4%), small cell lung carcinoma (23.6%), unspecified non-small cell lung carcinoma (13.0%), adenocarcinoma (10.8%), and large cell carcinoma (1.2%). Small cell carcinoma was the most frequent (39.5%) subtype in women.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".