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Record W4306929848 · doi:10.9734/bpi/codhr/v5/7941f

Study about Hypothyroidism as an Underdiagnosed Metabolic Disorder

2022· book-chapter· en· W4306929848 on OpenAlexaff
David L. Rowland

Bibliographic record

VenueBook Publisher International (a part of SCIENCEDOMAIN International) · 2022
Typebook-chapter
Languageen
FieldMedicine
TopicThyroid Disorders and Treatments
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsDeiodinaseThyroidHormoneTriiodothyronineInternal medicineEndocrinologyThyroid function testsMedicineBasal (medicine)

Abstract

fetched live from OpenAlex

The purpose of this study is to explain why the prevalence of hypothyroidism appears to be significantly higher than that reported in the medical literature. Most hypothyroidism (low thyroid function) patients go undiagnosed because laboratory tests only identify the presence of thyroid hormone in the blood and cannot tell us how much active hormone reaches the biological tissues that require it for metabolism. The thyroid gland's primary role is to control metabolism. The primary hormone secreted by the thyroid is thyroxine (T4), which is physiologically inactive. T4 has to be converted into its active form, triiodothyronine (T3), in order to exert its effects. The body's deiodinase enzymes, which are found in abundance in the majority of its tissues, catalyse this conversion. Reduced basal metabolism and concurrent hypothyroidism occur when insufficient T3 enters body cells. The physiological problem of low thyroid function frequently goes undetected by hormone blood tests. The physiological baseline temperature test (BTT), however, is 100 percent accurate at identifying hypothyroidism.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.003

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 head0.025
GPT teacher head0.298
Teacher spread0.273 · 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 source (direct Gemma or distilled Codex), 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueBook Publisher International (a part of SCIENCEDOMAIN International)Same topicThyroid Disorders and TreatmentsFrench-language works237,207