Результаты лечения диссеминированного туберкулеза легких
Bibliographic record
Abstract
Thus, in a village the disease came to light more often in young and elderly age, and among the city dwellers is more often in young. Under the social status in compared groups the quantity(amount) of the unemployeds was more in 1-st group (village). The diagnosis of a tuberculosis easy more often was established in terms from 1 about 3 months after occurrence of symptoms. At the same time it is obvious, that more quarter of the analyzed patients addresses behind medical aid and 3-6 months from a beginning of disease come to light in late terms -. The contact to the patient by a tuberculosis in 1-st group more often was marked family, while in 2 group in places of deprivation of freedom. General(common) percent(interest) of the cured patients has made in 1-st group 76,0% and in 2 to group 78,5%. Among the city dwellers terms of the termination(discontinuance) have come(stepped) in 2 months in 1,2 times more often, than among the inhabitants of village, that has made 75,0 % and 62,5 % accordingly. These factors influenced efficiency of treatment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".