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Record W4380224751 · doi:10.57002/joehr.v4i2.307

Potential of Photonic Effects of Ion-Spec Medical Design in Controlling symptomatic characteristics in people with headache, high blood pressure and intraocular pressure

2023· article· en· W4380224751 on OpenAlexaff
Chu Yun Sang, Saw Lay San

Bibliographic record

VenueJournal of Optometry Eye and Health Research · 2023
Typearticle
Languageen
FieldMedicine
TopicRetinal and Optic Conditions
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsHeadachesMedicineHealth professionalsAudiologyPsychologyHealth carePsychiatry

Abstract

fetched live from OpenAlex

IONSPEC –A nanobiophotonic medical design incorporated negative ions and far infrared rays (FIR) wasdeveloped in helping patients in reducing their bifrontal discomforts, visual discomforts, and headaches.Both aerobic and not aerobic conditions help eye pressure at a healthier level, and their vision discomfortsrelief after wearing IONSPEC correction. The results suggest that materials emitting FIR, which are widelyused in Asia for therapeutic and preventative purposes, appear capable of reducing bifrontal pains due tovisual discomfort, and a headache without side effects. This study will hopefully enlighten professionals onspreading awareness regarding health hazards of computers and IONSPEC nanobiophotonic medicaldesign has a potential to reduce eye pains, headaches, and othe visual symptomatic in many eye conditions

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.398
Teacher spread0.369 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2023
Admission routes1
Has abstractyes

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