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Record W4391497610 · doi:10.53555/sfs.v10i1s.2125

EFFECTS OF DIET ON ENDOMETRIOSIS: A REVIEW

2023· review· en· W4391497610 on OpenAlex
Debapriya Koner, Ghausia Alauddin Ansari, Pallabi Roy, Amisha Paul, Anam Fatma, Manisha Maity

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2023
Typereview
Languageen
FieldChemistry
TopicSynthesis and Reactions of Organic Compounds
Canadian institutionsnot available
Fundersnot available
KeywordsEndometriosisMedicinePhysiologyInternal medicine

Abstract

fetched live from OpenAlex

In today’s world, the term "endometriosis" is very common among reproductive-aged women and adolescents. Several women suffer from this disease and experience chronic pain. Infertility is experienced by a large number of women with endometriosis. With the occurrence of endometriosis, women face different risk factors. The relationship between dietary intake and inflammation occurring due to endometriosis is still not evaluated properly. Various ongoing research works are dealing with to see the effect of dietary substances on the pathological and physiological processes of this disease. According to different cohort studies, various foods such as high calcium, vitamin D, A, C, omega-3, and fish oil-containing foods are proven to reduce the risk of endometriosis. Green vegetables were not found to be associated with the formation of chronic inflammation due to endometriosis. Present review work is undertaken to demonstrate a connection between the occurrence and severity of endometriosis and dietary intake.

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)0.004
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.813
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.265
GPT teacher head0.349
Teacher spread0.084 · 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