Bibliographic record
Abstract
illustration, 41f cost of testing, 43, 48, 53 Crew's Department of Animal Breeding Research, 37 detector of women likely to miscarry, 50 early adopters, 7 hormone injections in cases of endocrine deficiency, 39 how it worked?, 4 hydatidiform mole, 46, 47f importance, 33, 35 integrated, into fertility diagnosis and treatment regimens, 55 knowledge of test's existence (see Aschheim-Zondek test-knowledge and ignorance) laboratory testing, 41, 42t Lancet, 40-42, 51 launching modern era of medical knowledge, 35 mice, 40 naked-eye inspection, 40 negative and positive reactions, 32f normalization of self-testing, 4 "not a pregnancy test, sensu strict[o]," 44 placental cancer, 46 rabbit test, 5f reliability of test, 44, 50 rising to prominence (1936), 55 spontaneous abortion, 36 textbook references, 51-52 Zondek-Aschheim test, 45f Aschheim-Zondek test-knowledge and
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.019 |
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".