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Record W2393614229

Clinical Analysis on 60 Cases with Joint Opernea Fissure Suturtion, Traumatic Ca taract Extraction and Implantation of Artystalline Lens

2002· article· en· W2393614229 on OpenAlexaff
Li Han

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicIntraocular Surgery and Lenses
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsTraumatic cataractLens (geology)CorneaCataract extractionMedicineFissureIntraocular lensOphthalmologySurgeryMaterials scienceOpticsComposite material
DOInot available

Abstract

fetched live from OpenAlex

Objective:To explore the method and curative rffect of Joint O pe ration of Cornea Fissure Suturation,Traumatic Cataract Extraction and Implantati on of Artificial Crystatine Lens.Methods:to analyse 60 cases with Joint Operatio n of Cornea Fissure Suturation,Traumatic Cataract Extraxtion and Implantation of Artificial Crystalline Lens.Results:After 3-48 months follow-up survey,the vi sion of 23 cases have recovered to or better than 0.5 (38.33%),25 cases recover ed to 0.3-0.4(41.67%),12 cases recovered to worse than 0.3(2%).Conclusions:Jo int Operation of Corna Fissure Suturation,Traumatic Cataract Extraction and Impl antion of Artificial Crystalline Lens is a comparatively ideal method.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.248
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.076
GPT teacher head0.332
Teacher spread0.255 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

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