Association of the <i>MC4R</i> rs17782313 with endometrial carcinoma risk in non-Hispanic white women.
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.
Bibliographic record
Abstract
<p>Forest plot of the ORs and 95% CIs comparing endometrial carcinoma risk for the <i>MC4R</i> rs17782313 rare allele homozygotes (CC genotype) versus common allele homozygotes (<i>TT</i> genotype) for eight studies included in the pooled analysis. The pooled<sup>a</sup> OR for all studies combined was 0.97 [95% CI: 0.81–1.18; p (1 d.f.) = 0.78]. P for heterogeneity of effects by study = 0.49. The pooled<sup>b</sup> OR for studies including incident cases only (excluding TORONTO study) was 0.99 [95% CI: 0.81–1.22; p (1 d.f.) = 0.94]. P for heterogeneity of effects between studies with incident cases vs. prevalent cases (TORONTO) = 0.68. Pooling was performed by combining all data using study as fixed and random effects (results were the same).</p>
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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 it