Bibliographic record
Abstract
Strategic Planning", which are about to publish in near future. The payment system is a mechanism which enables cash-transfer (electronically) from one account to another regardless the location of the holding branch of each account. An integrated payment system covers all the inter-banking payments in a synchronized and continuous structure, and includes Real Time Gross Settlement System (RTGS), Automatic Clearing House (ACH), and the Scrip less Securities Settlement System (SSSS).The Central Bank of the Islamic Republic of Iran, in order to play its role and to fulfill its responsibilities, has pursued the establishment and implementation of the real time gross settlement system (RTGS) as the main infrastructure of settlement, while also has developed the electronic inter-banking billing system (Sahab) to offer a variety of real time cash-transfer for small payments. These two infrastructures will be fully in operation by the end of the current year. The ACH and SSSS systems will also be considered in the next phase, in which the operating priority is connecting such systems to the RTGS system. JIBC April 2008, Vol. 13, No. 1- 2-
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".