Bibliographic record
Abstract
The results from fetal-maternal hemorrhage (FMH) detection and quantitation external quality assessment surveys conducted in Ontario indicate that the rosette test had a sensitivity and specificity for an FMH of more than 10 mL of 1.0 and 0.75, respectively, compared with 0.96 and 0.92, respectively, for acid elution. With FMH quantitation, the percentage error of the mean from the target FMH was 20% or more in 7 of 8 surveys, and coefficients of variation ranged from 39.5% to 71.8%. Inadequate Rho(D) immune globulin prophylaxis could have occurred in 19.4% of the challenges with an FMH of more than 10 mL. The rosette and acid elution techniques are both effective for the detection or exclusion of FMH, but acid elution lacks adequate accuracy and precision for reliable FMH quantitation. Furthermore, a strategy of prescribing an extra 1,500-IU Rho(D) immune globulin dose, in addition to the dose required to treat the volume of fetal blood detected, is an effective strategy to overcome the limitations of FMH quantitation by acid elution.
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.
How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.033 | 0.002 |
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; both teacher heads agree on what is shown here.
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".