Factors that Help Ease the Financial Gap in the Sales Tax Report Submitted by the Taxpayers to Pay the Tax: From the Point View of Sales Tax Auditors in Jordan
Bibliographic record
Abstract
This study aims to identify ways to narrow the gap between the financial report revealed the sales tax auditor which follows the Sales Tax Department, and to identify the nature of the financial gap between the report of the auditor and the nature of the tax procedures to make sure of the validity of the data relating to the sales tax. this study find results like the Commissioners and consultancy offices with the help of the tax charged to provide tax returns violates the law of the General Sales Tax, The presence of erroneous application of accounting principles generally accepted Almgiwlh when preparing the accounting books and records either by tax auditors or by the taxpayers who provide tax declaration for revolving the General Sales Tax. The recommended: The need to retain charge of the books and accounting records and assets by the rules laid down in the law of the General Sales Tax. The need to do seminars pilot taxpayers about the difficulty in applying the requirements of the law of the general sales tax at the accounting treatment of revenue and controlled by tax-exempt.
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 | 0.006 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".