Structure of emergency outpatient adult visits in Naberezhnye Chelny
Bibliographic record
Abstract
Aim. The study of the structure of emergency outpatient adult visits in Naberezhnye Chelny. Methods. 2471 cases of primary outpatient visits for acute and chronic diseases of adult population of the city of Naberezhnye Chelny in 2011-2013 were analyzed. For statistical analysis of the data analysis of contingency tables with the assessment of statistical significance using Pearson criterion χ2 was used. The critical level of significance was set at p=0.05. Results. In the studied population 48.4% of primary outpatient visits were made by males and 51.6% - by females. In the general structure of visits patients aged 50 to 59 years were prevalent. Up to a quarter of the emergency outpatients noted the beginning of the disease on the weekends and holidays. The percent of visits to the polyclinic on weekends or holidays was extremely low (3.0% in the general structure of visits), while the highest rates of emergency visits to the polyclinic by adults were observed during the first half of the week. The highest number of primary emergency visits to the polyclinic among both males and females was on Mondays (28.8%). Conclusion. In the structure of visits made on Mondays and Tuesdays, the proportion of patients who became ill on weekends and holidays, amounted almost 30%.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".