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
PURPOSE: This study examines the influence of patient social context on physicians' adherence to clinical practice guidelines (CPGs). METHOD: Expert emergency medicine (EM) physicians and novice physicians (EM residents) were surveyed using an Internet-based program between January and July of 2013. Participants were presented clinical cases and were asked to indicate if they would order or prescribe a specified test or treatment. Cases were chosen from four domains where CPGs exist, and were constructed to include or exclude a "context variable" (CV). Both expert and novice physicians' CPG adherence rate in the CV condition was compared with that in the no CV condition. The CPG adherence rates in CV and no CV conditions were also compared between expert and novice EM physicians. RESULTS: Expert EM physicians (n = 28) were less likely to adhere to CPGs in the CV condition compared with the no CV condition (56% versus 80%, respectively; odds ratio [OR] = 0.32, 95% confidence interval [CI]: 0.17-0.53, P < .001). Experts were less likely to adhere to CPGs in the CV condition when compared with novice physicians (n = 28) (56% versus 67%; OR = 0.62, 95% CI: 0.39-1.0, P = .039). Expert and novice EM physicians did not differ in their adherence to CPGs in the no CV condition. CONCLUSIONS: Participants were sensitive to both the best clinical evidence of benefit, as recommended by CPGs, and patient context when determining how care should be managed.
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 | 0.050 |
| 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) | 0.003 | 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