The study of consumer aspects of medical products for diagnosis of pregnancy
Bibliographic record
Abstract
To diagnose pregnancy means to ascertain the fact of pregnancy and its duration. Timely and accurate diagnosis of pregnancy and determination of its term are needed to prevent complications, premature birth and prolongation. There are several kinds of tests for pregnancy at the market such as conventional test strips, tablets, midstream sticks and electronic tests. Medical products for diagnosis of pregnancy are widely popular among women because of their high efficiency and reliability of the results. The leaders among manufacturing countries are Canada, Germany and the USA. It has been found that there are tests with different sensitivity of 30, 25, 20 and 10 Mme/ml. The least sensitive are simple strips (20-15 mIU/ml), and midstream sticks have the highest sensitivity (10 mIU/mL). The analysis of sensitivity indicators of tests has been conducted using of the standards WHO IS 75/537 and IRP 75/537. It has been found that such tests as Sezam, HomeTest and ULTRA, which can be used on the 7th day after fertilization, have the highest sensitivity.
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 | 0.001 | 0.002 |
| 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) | 0.000 | 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 teacher head, 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".