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Record W2050142198 · doi:10.2337/dc06-1214

Exposure to Rosiglitazone and Fluoxetine in the First Trimester of Pregnancy

2006· letter· en· W2050142198 on OpenAlexaff
June-Seek Choi, Jung Yeol Han, Hyun-Kyong Ahn, Joong-Sik Shin, Jae-Hyug Yang, Mi-Kyoung Koong, Alejandro A. Nava‐Ocampo

Bibliographic record

VenueDiabetes Care · 2006
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPeroxisome Proliferator-Activated Receptors
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsRosiglitazoneMedicinePolycystic ovaryPregnancyHydrochlorothiazideThiazolidinedioneGestationFluoxetineSpironolactoneInternal medicineEndocrinologyThiazideObstetricsDiabetes mellitusType 2 diabetesDiureticAldosterone

Abstract

fetched live from OpenAlex

Rosiglitazone is a thiazolidinedione oral hypoglycemic drug that seems to be a promising alternative not only as an oral hypoglycemic agent but also for women with polycystic ovary syndrome. However, information regarding exposure to rosiglitazone in pregnancy is limited to two previous case reports. In the first case, a 35-year-old woman was exposed until the 8th week of pregnancy to 4 mg/day rosiglitazone and to glicazide, acarbose, atorvastatin, spironolactone, hydrochlorothiazide, carbamazepine, thiridazine, amitryptiline, chlordiazepoxide, and pipenzolate bromide (1). The second case was a woman exposed to 4 mg/day rosiglitazone between gestational weeks 13 and 17 (2). The two cases delivered normal babies at gestational weeks 36 and 37, …

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0080.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.005
GPT teacher head0.206
Teacher spread0.201 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations10
Published2006
Admission routes1
Has abstractyes

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