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Record W3080913676 · doi:10.15353/cjo.v82i1.1636

2020 CAO Clinical Practice Guideline: Optometric Low Vision Rehabilitation FULL GUIDELINES

2020· article· en· W3080913676 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian journal of optometry/CJO. Canadian journal of optometry · 2020
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Visual Impairment Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsGuidelineRehabilitationMedicineReferralOptometryBest practiceClinical PracticeLow visionNursingPhysical therapy

Abstract

fetched live from OpenAlex

The purpose of the Low Vision Clinical Practice Guideline for Canadian Optometrists is to assist them in providing the best level of care in the management of patients with low vision. The guideline is based on current best evidence regarding optometric low vision rehabilitation as interpreted by an expert panel. The writing group includes optometrists from academia and private practice, representing various regions across Canada. This guideline will aid optometrists in identifying patients who require low vision rehabilitation and recommends appropriate assessment and management. As primary eye care providers, optometrists are optimally trained and qualified to identify and manage patients who would benefit from low vision rehabilitation. Optometrists, based on their geographical presence in local communities, are also well positioned to provide initial rehabilitation in a timely, effective manner, and to initiate referral for more comprehensive rehabilitation if required.

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.051
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.051
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.008
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.046
GPT teacher head0.472
Teacher spread0.426 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it