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
Resource CornerJanuary 1, 2002Evidence-based HypertensionDaniel M. Panisko, MD, MPHDaniel M. Panisko, MD, MPHUniversity Health Network, University of Toronto, Toronto, Ontario, Canada (D.M.P.)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/ACPJC-2002-136-1-A14 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookTwitterLinkedInRedditEmail Evidence-Based Hypertension has successfully achieved its goal to be a “practice-based textbook” that provides primary care practitioners with an evidence-based approach to the management of hypertension. The authors have also succeeded admirably in achieving their secondary goal of providing patient-centered approaches.The almost pocket-sized handbook is clearly organized with chapters whose titles frame the vital questions in hypertension management. An opening chapter orients readers to the book’s purpose, philosophy, and style. Diagnosis of hypertension, impact of cardiovascular risk factors, treatment of hypertension, integration of management with comorbid conditions, continuing care, difficult clinical situations, and hypertension in pregnancy are all comprehensively discussed.Each ... Author, Article, and Disclosure InformationAffiliations: University Health Network, University of Toronto, Toronto, Ontario, Canada (D.M.P.) PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails January 1, 2002Volume 136, Issue 1Page: A14 ePublished: 9 March 2020 Issue Published: January 1, 2002 Copyright & PermissionsCopyright © 2002 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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) | 0.009 | 0.004 |
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