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Record W2090262376 · doi:10.1159/000292374

Effects of Smoking on the Levels of Antioxidant Beta Carotene, Alpha Tocopherol and Retinol in Human Ovarian Follicular Fluid

2010· article· en· W2090262376 on OpenAlex
Prabhudas R. Palan, Brian L. Cohen, David H. Barad, Seymour L. Romney

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGynecologic and Obstetric Investigation · 2010
Typearticle
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsFollicular fluidInternal medicineEndocrinologyFollicular phaseRetinolOocyteTocopherolChemistryAntioxidantMedicineAndrologyVitamin EBiologyVitaminBiochemistryEmbryo

Abstract

fetched live from OpenAlex

The concentrations of beta-carotene, retinol and alpha-tocopherol were measured by high-pressure liquid chromatography in ovarian follicular fluid and plasma samples collected at the time of oocyte recovery from patients enrolled in our in vitro fertilization program. The mean beta-carotene levels in follicular fluid [0.182 +/- (SEM) 0.04 nmol/ml] and plasma (0.37 +/- 0.34 mmol/ml) of smokers (n = 5) were significantly (p < 0.025 and p < 0.001, respectively) lower compared with the mean levels in follicular fluid (0.58 +/- 0.10 nmol/ml) and plasma (1.11 +/- 0.09 mmol/ml) in nonsmokers (n = 11). The follicular fluid and plasma retinol and alpha-tocopherol levels were comparable among the nonsmokers and smokers. These findings direct attention to a possible role of the antioxidant beta-carotene, per se, as a biological marker in ovarian oocyte follicular maturation and function.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.233
Teacher spread0.216 · 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