Rapporti patrimoniali tra coniugi, norme di conflitto e variabilita della legge applicabile
Bibliographic record
Abstract
A Saskatchewan hospital separations database was compared to abstracted hospital records to determine the reliability of the database (i.e. accuracy with which the computer data reflect the charts from which they were coded) and the validity of classifying rheumatoid arthritis status with the database (i.e. the extent to which rheumatoid arthritis mentioned in the database reflected the condition of the patient). A sample of hospitalized subjects fell into three categories: 144 who never had a database diagnosis of any arthritis, 146 who had a database diagnosis of osteoarthritis, and 142 who had a database diagnosis of rheumatoid arthritis. These 432 people experienced 1717 hospitalizations eligible to match a hospital database listing by date, and 1618 matched. Of the remaining 99, 35 were relatively recent and probably had not yet been entered into the database, 39 were possibly entered incorrectly, and 25 could not be matched in any way. Of 150 hospitalizations with a database diagnosis of rheumatoid arthritis, this diagnosis was in the hospital record for 125. Chart documentation of rheumatoid arthritis status was greatest for subjects who, according to the database, were hospitalized by a rheumatologist: of 73 subjects in this category, abstractions showed 69.9% met > or = 5 American Rheumatism Association criteria, 15.1% met < 5 criteria but had a rheumatologist's diagnosis of rheumatoid arthritis, 1.3% met < 5 criteria and had a rheumatoid arthritis diagnosis by a non-rheumatologist, and 13.7% had no mention of rheumatoid arthritis or its symptoms in any medical record abstracted. In summary, reliability of the database was excellent, but validity depended on the source of diagnosis.
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 | 0.000 |
| 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) | 0.002 | 0.001 |
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".