Endogenous Bacterial Chorioretinal Abscess Presenting With Unusual Retinal Pigment Epithelial Excrescences and Large Subretinal Hemorrhage
Bibliographic record
Abstract
Division of Ophthalmology, Department of Surgery, McMaster University, Hamilton, Ontario. Reprint requests: Carl Shen, MD, Division of Ophthalmology, Department of Surgery, McMaster University, Hamilton, Ontario, 2757 King St. East, Hamilton, ON L8G5E4; e-mail: [email protected] None of the authors has any financial/conflicting interests to disclose. RETINA® is now accepting manuscripts for consideration for publication in the Photo Essay section. For a manuscript to be considered for publication within this section, the significance of the manuscript should revolve around the photographs. The photographs should convey an important or unique clinical diagnosis, condition, or treatment. The photographs can be a combination of kodachromes, angiograms, histologic sections, or ancillary diagnostic studies (e.g., echograms, radiograms, CT or MRI studies, arteriograms), all of which are imperative in the evaluation, diagnosis, and/or treatment of the condition that is represented. Overall, the Photo Essay manuscript will be limited to 300 words, five photographs, and five references. All figures submitted in color will be published in color at the expense of the authors. Please refer to the Author Instructions for all other general requirements of manuscripts submitted to RETINA®.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".