All editorial matter in CMAJ represents the opinions of the authors and not necessarily those of the Canadian Medical Association. CMAJ•JAMC Commentary
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Smoking is the single most preventable cause of deathand disability. The World Health Organization esti-mates that, around the globe, 1.3 billion smokers pur-chase 10 million cigarettes every minute, and that every 8 seconds somebody dies from a tobacco-related disease. If current trends continue, smoking will kill 1 in 6 people worldwide.1 The primary prevention of disease attributable to smoking requires effective treatment for the ultimate vec-tor of this epidemic: tobacco dependence. Several pharma-cotherapies have proven to be efficacious for the treatment of tobacco dependence. However, critical to the current and future success of tobacco control efforts is the dissemination of interventions from clinical trials to the broad population of tobacco users. Unfortunately, widespread dissemination of effective tobacco interventions remains elusive. In this issue of CMAJ, Eisenberg and colleagues2 report the results of their meta-analysis of pharmacotherapies for the
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it