On Determination of Pollution in Urban Junction, Caused by Vehicles
Bibliographic record
Abstract
In this study, given the determination of the pollution quantity from vehicles in an urbanjunction in order to reduce the pollution level and fuel. The pollution caused by vehicles,it is taken based on production years within the EC directives. Types of vehiclescirculating are determined based on vehicles state, divided by production years and thetype of engine.For urban junction with roundabout "Zogu Zi", they are performed measurements ofvehicles number, that move in an hour, describing way with slowly and relevant time. Forthis junction it is calculated vehicle speed at the junction and pollution quantity isconverted to g/min and then it is determined the pollution quantity per hour for existingstate of vehicles divided into 5 groups, according to pollution level. For practicalapplication, only vehicles manufactured after 2000 in circulation, it results that can beachieved a pollution reduction at the junction up to 3 times. To realize this, it is proposedthe removal of customs duty for vehicles manufactured after 2001 and establishment ofadditional environmental tax, proportional to the pollution degree for vehicles incirculation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".