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
Background :Our purpose was to assess the utility of prenatal triple-marker (α- fetoprotein (AFP), β-human chorionic gonadotropin (hCG) and unconjugated estriol (uE3) testing for chromosomal abnormalities in women with Down syndrome screen-positive results Method :Total 1,082 women between 15 and 21 weeks` gestation received second trimester Down syndrome risk evaluation by triple marker testing. AFP, β-hCG and uE3 were measured by Coat-A-Counts IRMA (Diagnostic Products Corporation, LA, USA), The risk for Down syndrome was calculated using a commercially available software program (AFP Expert; Benetech Medical System, Toronto, Canada) by use of a Down syndrome risk cutoff value(1:270 at midtrimester). Karyotypes were reviewed for 32 (54.2%) of these patients who received prenatal chromosome analysis Result :Fifty nine (5.5%) patients of the 1,082 women screened were identified as positive. Two chromosome abnormalities (47,XYY and 46,XX, int (9) ) were found in the 32 patients who underwent prenatal chromosome analysis (6.3%). Any cases on the abnormal serum tests torn out not to be associated with trisomy 21 Conclusion :Although triple marker screen appears to be an effective method detecting chromosome abnormalities there is a high false positive rate. Therefore, new screening test that reduce false positive rate is need to be introduced.
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 | 0.000 |
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.081 | 0.003 |
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