Individual and combined confrontation visual field tests performed poorly as a screen for visual field abnormalities
Bibliographic record
Abstract
ACP Journal Club19 October 2010Individual and combined confrontation visual field tests performed poorly as a screen for visual field abnormalitiesBarbara Connolly, MD, Wieslaw Oczkowski, MDBarbara Connolly, MDMcMaster University, Hamilton, Ontario, Canada (B.C., W.O.), Wieslaw Oczkowski, MDMcMaster University, Hamilton, Ontario, Canada (B.C., W.O.)Author, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-153-8-201010190-02011 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Source CitationKerr NM, Chew SS, Eady EK, Gamble GD, Danesh-Meyer HV. Diagnostic accuracy of confrontation visual field tests. Neurology. 2010;74:1184-90. https://pubmed.ncbi.nlm.nih.gov/20385890Clinical Impact RatingsGIM/FP/GP: Emergency Med: Hospitalists: Neurology: References1 Trobe JD, Acosta PC, Krischer JP, Trick GL. Confrontation visual field techniques in the detection of anterior visual pathway lesions. Ann Neurol. 1981;10:28-34. [PMID: 7271230] Google Scholar2 Johnson LN, Baloh FG. The accuracy of confrontation visual field test in comparison with automated perimetry. J Natl Med Assoc. 1991;83:895-8. [PMID: 1800764] Google Scholar3 Pandit RJ, Gales K, Griffiths PG. Effectiveness of testing visual fields by confrontation [Letter]. Lancet. 2001;358:1339-40. [PMID: 11684217] Google Scholar4 Anderson NE, Mason DF, Fink JN, et al. Detection of focal cerebral hemisphere lesions using the neurological examination. J Neurol Neurosurg Psychiatry. 2005;76:545-9. [PMID: 15774443] Google Scholar Author, Article, and Disclosure InformationAffiliations: McMaster University, Hamilton, Ontario, Canada (B.C., W.O.)This article was published at Annals.org on 5 October 2010. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics Cited by11 Neurologisch onderzoek 19 October 2010Volume 153, Issue 8Page: JC4-11KeywordsComputersGlaucomaHospitalistsLesionsNeurologyOptic nervePrimary careSpecificityVisual acuity ePublished: 19 October 2010 Issue Published: 19 October 2010 Copyright & PermissionsCopyright © 2010 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".