SOLIQ TIZIMI AXBOROT TEXNOLOGIYALARIDA AXBOROT XAVFSIZLIGINI TA'MINLASH MASALALARI
Bibliographic record
Abstract
Annotatsiya: Maqolada axborot texnologiyalarining, kompyuter tizimlarining hayotning barcha jabhalariga ommaviy ravishda joriy etilishi natijasida elektron shakldagi axborot hajmi bir necha ming marotaba oshdi. Hozirda soliq to‘lovchilar yoki mahsulot ishlab chiqarish rejasi haqidagi muhim bo‘lgan ma’lumotlarni saqlovchi fayllarni qisqa vaqt ichida diskka yoki flesh-kartali tashqi xotiraga osongina ko‘chirib olish mumkin. Kompyuter tarmoqlarida esa axborot resurslariga murojaat qilishni nazorat qilish murakkabligi tufayli tarmoqda saqlanayotgan axborotlarning yaxlit holda saqlanishiga kafolat berish mushkul. Demak, axborot xavfsizligi muammosi jamiyatdagi axborotlarning muhim va qimmatliligini e’tirof etilgan.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.129 | 0.087 |
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".