Pavimentazioni stradali in calcestruzzo: una scelta sostenibile
Bibliographic record
Abstract
La realizzazione di pavimentazioni stradali in\ncalcestruzzo costituisce una tecnologia ampiamente\nsperimentata e applicata all’estero,\nma non ancora diffusa in Italia. Le pavimentazioni\nin calcestruzzo rappresentano un\nottimo investimento tecnico, vista l’elevata\ndurabilità e la ridotta manutenzione richiesta.\nStati Uniti, Canada, Germania, Austria,\nBelgio, Olanda e Regno Unito hanno maturato\nesperienze decennali e tuttora svolgono\nricerche volte al raggiungimento di nuovi\nobiettivi quali la sicurezza e la mitigazione\ndella congestione stradale.\nL’impiego del calcestruzzo offre una valida\nalternativa alle soluzioni in conglomerato bituminoso,\nper una mobilità più sostenibile,\nche riduca il proprio impatto sociale, economico\ne ambientale.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".