Clinical Procedures: A New Test to Examine the Different Components in Subjective Monocular Refraction
Bibliographic record
Abstract
Significance: Subjective monocular refraction is the basis for determining an optometric prescription. A single testing target for determining the final prescription, by simultaneous viewing with a method to control testing error, simplifies the procedure, since the patient has a better appreciation of the end-point and relates more easily to the examination. Purpose: The purpose of this study was to identify a test chart and method of examination to improve the efficiency of determining the correction of the astigmatic and spherical components of a prescription. The testing procedure uses an immediate comparison and avoids sequential testing that relies on memory. A method of avoiding errors, caused by looking away from the optical centre, is included. This is important in cases of high prescriptions. This method may be suitable for ancillary staff to use in the introductory testing routine. Method: A single, non-movable test chart, independent of the circle of least confusion, is presented. The target is based on the simultaneous resolution of a line in four meridians. A second chart is incorporated into the principal chart. This uses chromatic displacement caused by the off-centre viewing of a prism to avoid errors. Result: This testing method, when used in the clinic, has been shown to be efficient and easily understood. A limited independent trial showed that the method is as effective as traditional methods and gives acceptable results when used by ancillary staff. The results obtained by non-experienced individuals are also presented. This may be useful in environments where no professional staff are available. Conclusion: The method described here improves the examination of subjective refraction without the need to change targets. There is no need to consider the circle of least confusion. The target includes tests for axis, cylinder power, spherical power and duochrome. The use of a simultaneous comparison is better received by patients than the sequential test, and is easily understood. The spherical end-point is definite, unless there is hyper-acuity or accommodative spasm. The test improves the ability of the patient to understand, and be comfortable with, the testing method. Binocular balance is not considered here.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".