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, 2000Diagnostic Strategies for Common Medical ProblemsSharon E. Straus, MDSharon E. Straus, MDThe Mount Sinai Hospital, Toronto, Ontario, Canada (S.E.S.)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/ACPJC-2000-132-1-A17 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookTwitterLinkedInRedditEmail At last, the second edition of Diagnostic Strategies for Common Medical Problems has arrived to replace the well-used first edition, published in 1991. Evidence about the precision and accuracy of diagnostic tests is not always readily available, and this resource attempts to overcome the problem. Its aim is to help clinicians with both critical appraisal of diagnostic tests and quantitative decision making about diagnostic strategies. It provides information about the operating characteristics of diagnostic tests and procedures that are commonly used in clinical practice, particularly in internal medicine.Unfortunately, this book does not provide any information on whether the literature was ...Reference1 Wells PS, Anderson DR, Bormanis J, et al. Value of assessment of pretest probability of deep-vein thrombosis in clinical management. Lancet. 1997;350:1795-8. Google Scholar Author, Article, and Disclosure InformationAffiliations: The Mount Sinai Hospital, Toronto, Ontario, Canada (S.E.S.) PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails January 1, 2000Volume 132, Issue 1Page: A17KeywordsConfidence intervalsCreatineDecision makingDeep vein thrombosisDiagnostic medicineElectrocardiographyEnzymesForecastingHematologic testsInfectious diseasesInformation technologyInpatientsIschemiaMyocardial infarctionPercutaneous transluminal coronary angioplastySpecificitySystematic reviewsTroponin ePublished: 9 March 2020 Issue Published: January 1, 2000 Copyright & PermissionsCopyright © 2000 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 | 0.001 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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