Bibliographic record
Abstract
Objective:To study the application of umbilial blood flow monitoring in the prenatal examination. Methods:385 pregnant women,pregnancy of 24 +6 to 40 +6 weeks, were examined with foetal umbilical blood flow detector. The S/D?PI ?RI and FVR were measured by continuous ultrasonic detection of the fetal umbilical artery flow,then the result was analyzed by computer. Results: Abnormal umbilical blood flow was detected in 60 pregnant women(15.6%). The abnormal S/D was found in 36 casec (9.4%),and abnormal RI?PI and FVR in 24 cases(6.2%). Umbilical cord reeling fetal neck was found in 115 pregnant women(29.8%). The incidences of intrauterine growth retardation (IUGR) and neonatorum asphyxia significantly increased in pregnant women with abnormal umbilical blood flow ( P 0.05). Conclusions: The monitoring of umbilical blood flow is a good way in prenatal care.
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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 | 0.001 | 0.004 |
| 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".