Effekten af udvidet periodisk syn på person- og varebiler
Bibliographic record
Abstract
Dette notat har til formål at gennemføre en beregning af costs og benefits af udvidet periodisk syn af person- og varebiler i Danmark, under forudsætning af der gennemføres ét syn af per-son- og varebiler efter fire år, derefter ét syn efter to år og derefter én gang årligt (4,2,1,1…), som beskrevet i Europa-kommissionens forslag ’Køretøjspakke vedrørende øget periodisk syn, Forslag til forordning nr. 380’. Desuden foretages et fagligt review af de i ’Autofore-rapporten’ for Kommissionen tidligere fore-tagne beregninger af basis-scenariet af et lidt ældre forslag, hvor de periodiske syn skulle være efter fire år, derefter efter to år, derefter efter to år igen og derefter årligt (4,2,2,1,1…). Dvs. at der i vores basisscenarie vil være ét ekstra syn (ved 7. år) i forhold til ’Autofore-rapportens’ ba-sis-scenarie. Dog udføres i ’Autofore-rapporten’ også følsomhedsberegninger for alternative startår for de årlige periodiske syn, heriblandt for vores basis-scenarie. Reviewet forholder sig til de forudsætninger i ’Autofore-rapporten’, som Kommissionen henviser til, og vurderer rigtigheden af de danske forudsætninger.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.054 | 0.006 |
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; both teacher heads agree on what is shown here.
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".