Local Examination and Research and Their Role in Iran Procedures
Bibliographic record
Abstract
Subject dictum time of its implementation should be notified to the parties and the absence of any of the parties to prevent the implementation of the dictum examination and research not local. If this dictum will be issued directly by the court or prosecutor's dictum to the plaintiffs in the case claim the cost of implementing each of the parties, the applicant is responsible. Dictum examination of the dictum of numbers. Namely the implementation of this dictum, the case will be ready and the court judgment cannot deviate from it. This dictum in legal proceedings (civil) real estate is noticed. However, sometimes the difference in movable property may also dictum examination of the issue. Tribunal to issue dictum examination site are free, and with the implementation of this dictum to obtain documentary evidence that a vote will be taken. Research and examination should be subject local place as soon as possible. The signs may be eliminated or reduced by intervening factors is access to witnesses. For research and examination local view must be subject to objective and precise touch and understand that if the meeting informed the parties that have signed and the judge and questioning is set. This dictum with which the parties have been notified of their appointment and the dictum to be implemented. It should be noted that in civil and criminal cases this has worked and convincing grounds for the prosecutor and the judge acquires and could make the dictum is the fact that the decision in this regard without any fact that it is right for violation.
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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 | 0.141 | 0.176 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.013 | 0.027 |
| Scholarly communication | 0.021 | 0.008 |
| Open science | 0.004 | 0.019 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.036 | 0.017 |
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".