El sueño como lenguaje en la poética de Borges
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
Patients with hereditary spherocytosis (HS) are often thought to have an increased risk of blunt splenic injury (BSI) from trauma due to splenomegaly. We aim to quantify this risk. Using a population-based database consisting of all injury-related admissions in Canada from 2001 to 2010, we identified patients with BSI and HS based on the discharge diagnoses. Intercensal population estimates were used to derive rates of BSI. The HS population at risk for BSI was estimated based on population rates of HS obtained from the literature. Rates of BSI in the HS population were estimated and the relative rates of BSI were calculated to compare the populations with and without HS. There were 10,106 patients with BSI over 202,405,788 person-years of observation, yielding an overall rate of BSI in the general population of 5.0 BSI per 100,000 person-years. Of these BSI patients, only two had a history of HS. Population rates of HS in the literature range from 1 in 2,000 to 5,000, corresponding to a low estimate of 2.0 and a high estimate of 4.9 BSI per 100,000 person-years in the HS population. The relative rate of BSI in the population with HS compared to the population without HS ranged from a low of 0.4 (95 % CI 0.1-1.4) to a high of 1.0 (0.1-3.6). The rate of BSI in the HS patient population appears not to differ significantly from those in the general population.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it