Bibliographic record
Abstract
A meta-analysis of randomized controlled trials (Br Med J 311:899-909, 1995) has shown that the use of cisplatin (Platinol)-based combination chemotherapy in patients with good performance status leads to a modest improvement in median survival and an absolute increase in 1-year survival proportion of 10%. There are several different platinum-based regimens approved by the Food and Drug Administration for use in advanced non–small-cell lung cancer. Whether any one regimen is superior is unclear. A recent randomized controlled trial found no difference in median survival and quality of life between carboplatin (Paraplatin)/paclitaxel (Taxol)—the most commonly used regimen in the United States—and cisplatin/vinorelbine (Navelbine)—a regimen more popular in Europe and Canada (Proc Am Soc Clin Oncol 18: 461a [abstract 1777], 1999). The newer agents gemcitabine (Gemzar) and docetaxel (Taxotere) are among the most active single agents in non–small-cell lung cancer, and use of either in combination with cisplatin has shown promise.
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 | 0.013 | 0.085 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.008 | 0.002 |
| Research integrity | 0.050 | 0.031 |
| Insufficient payload (model declined to judge) | 0.040 | 0.024 |
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".