Bibliographic record
Abstract
No abstract available. Article truncated after first 150 words. Several Democratic presidential candidates have pushed the idea of “Medicare for All” and a “Medicare for All” bill has been introduced into the US house with over 100 sponsors. A recent Medpage Today editorial by Milton Packer asks whether this will benefit patients or physicians (1). Below are our views on “Medicare for All” with the caveat that we do not speak for the American Thoracic Society nor any of its chapters. \nIt has been repeatedly pointed out that medical care in the US costs too much. US health care spending grew 3.9 percent in 2017, reaching $3.5 trillion or $10,739 per person, and 17.9% of the gross domestic product (GDP) (2). This is more than any industrialized country. Furthermore, our expenditures continue to rise faster than most other comparable countries such as Japan, Germany, England, Australia and Canada (2). \nDespite the high costs, the US does not provide access …
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".