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Record W2074986218 · doi:10.1196/annals.1314.040

Does Substitution of T4 with T3 Plus T4 for T4 Replacement Improve Depressive Symptoms in Patients with Hypothyroidism?

2004· article· en· W2074986218 on OpenAlexaff
Russell T. Joffe, Anna M. Sawka, Michael Marriott, Glenda MacQueen, HERTZL C. GERNSTEIN

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2004
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsLevothyroxineSubstitution (logic)MoodMedicinePlaceboDepressive symptomsSubstitution therapyRandomized controlled trialHormone replacementInternal medicinePediatricsPsychiatryThyroidHormoneAnxietyAlternative medicine

Abstract

fetched live from OpenAlex

Substitution of T4 with T3 for T4 replacement in patients with hypothyroidism was undertaken using a randomized placebo controlled study design. Forty individuals were included who had depressive symptoms on stable doses of levothyroxine. Combined T4 plus T3 did not have a significantly different effect on mood and well-being scores than did T4 alone.

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)0.001
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.001
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 head0.033
GPT teacher head0.300
Teacher spread0.267 · 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 designNon-randomized trial
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

Citations7
Published2004
Admission routes1
Has abstractyes

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Same venueAnnals of the New York Academy of Sciences→Same topicDiet and metabolism studies→French-language works237,207→