Visuo-perceptual task performance across the menstrual cycle in women with and without premenstrual symptoms: potential influences of estradiol and estradiol sensitivity on retinogeniculostriate, extrastriate, and elementary retinal-based smooth pursuit pathways
Bibliographic record
Abstract
The present study examined whether women with premenstrual symptoms (PMS) exhibit a different pattern of performance on psychophysical tasks across the menstrual cycle in comparison to control women. Research has shown that a related and more extreme \npresentation of this phenomenon, Premenstrual Dysphoric Disorder (PMDD) may be experienced as the result of a heightened sensitivity to normal phasic changes in sex steroid concentrations. In addition, research suggests that performance on certain measures of visuo-perceptual ability is associated with changing levels of estradiol. Thus, women who are more sensitive to changing hormonal levels (e.g., women with PMS) \nmay exhibit different performance on such tasks when compared to controls; and as a function of the menstrual cycle. Control women (N= 18) and women with PMS symptoms (N= 16) performed a series of four psychophysical tasks during laboratory sessions at both the late-follicular (LF) and late-luteal (LL) phases of the menstrual cycle.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".