Which journals do primary care physicians and specialists access from an online service?
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
OBJECTIVE: The study sought to determine which online journals primary care physicians and specialists not affiliated with an academic medical center access and how the accesses correlate with measures of journal quality and importance. METHODS: Observational study of full-text accesses made during an eighteen-month digital library trial was performed. Access counts were correlated with six methods composed of nine measures for assessing journal importance: ISI impact factors; number of high-quality articles identified during hand-searches of key clinical journals; production data for ACP Journal Club, InfoPOEMs, and Evidence-Based Medicine; and mean clinician-provided clinical relevance and newsworthiness scores for individual journal titles. RESULTS: Full-text journals were accessed 2,322 times by 87 of 105 physicians. Participants accessed 136 of 348 available journal titles. Physicians often selected journals with relatively higher numbers of articles abstracted in ACP Journal Club. Accesses also showed significant correlations with 6 other measures of quality. Specialists' access patterns correlated with 3 measures, with weaker correlations than for primary care physicians. CONCLUSIONS: Primary care physicians, more so than specialists, chose full-text articles from clinical journals deemed important by several measures of value. Most journals accessed by both groups were of high quality as measured by this study's methods for assessing journal importance.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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