THE MEDICO-ORGANIZATIONAL MODEL OF PROTECTION OF REPRODUCTIVE HEALTH OF WOMEN WITH INFLAMMATORY DISEASES OF GENERATIVE ORGANS
Bibliographic record
Abstract
AMA Naumov I, Tishchenko Y, Aleksandrovich A. THE MEDICO-ORGANIZATIONAL MODEL OF PROTECTION OF REPRODUCTIVE HEALTH OF WOMEN WITH INFLAMMATORY DISEASES OF GENERATIVE ORGANS. Health Problems of Civilization. 2014;8(3):4-11. doi:10.5114/hpc.2014.57079. APA Naumov, I., Tishchenko, Y., & Aleksandrovich, A. (2014). THE MEDICO-ORGANIZATIONAL MODEL OF PROTECTION OF REPRODUCTIVE HEALTH OF WOMEN WITH INFLAMMATORY DISEASES OF GENERATIVE ORGANS. Health Problems of Civilization, 8(3), 4-11. https://doi.org/10.5114/hpc.2014.57079 Chicago Naumov, Igor, Yevgenij Tishchenko, and Aleksandr Aleksandrovich. 2014. "THE MEDICO-ORGANIZATIONAL MODEL OF PROTECTION OF REPRODUCTIVE HEALTH OF WOMEN WITH INFLAMMATORY DISEASES OF GENERATIVE ORGANS". Health Problems of Civilization 8 (3): 4-11. doi:10.5114/hpc.2014.57079. Harvard Naumov, I., Tishchenko, Y., and Aleksandrovich, A. (2014). THE MEDICO-ORGANIZATIONAL MODEL OF PROTECTION OF REPRODUCTIVE HEALTH OF WOMEN WITH INFLAMMATORY DISEASES OF GENERATIVE ORGANS. Health Problems of Civilization, 8(3), pp.4-11. https://doi.org/10.5114/hpc.2014.57079 MLA Naumov, Igor et al. "THE MEDICO-ORGANIZATIONAL MODEL OF PROTECTION OF REPRODUCTIVE HEALTH OF WOMEN WITH INFLAMMATORY DISEASES OF GENERATIVE ORGANS." Health Problems of Civilization, vol. 8, no. 3, 2014, pp. 4-11. doi:10.5114/hpc.2014.57079. Vancouver Naumov I, Tishchenko Y, Aleksandrovich A. THE MEDICO-ORGANIZATIONAL MODEL OF PROTECTION OF REPRODUCTIVE HEALTH OF WOMEN WITH INFLAMMATORY DISEASES OF GENERATIVE ORGANS. Health Problems of Civilization. 2014;8(3):4-11. doi:10.5114/hpc.2014.57079.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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; 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".