Hacia un pavimento de hormigón medioambientalmente sostenible utilizando áridos reciclados
Bibliographic record
Abstract
Aunque exista un deficit critico de aridos naturales, esta aumentando la disponibilidad de hormigon demolido para su utilizacion como arido de hormigon reciclado (RCA). La utilizacion de hormigon de desecho como RCA preserva los aridos naturales, reduce el impacto de los vertederos, reduce el consumo energetico y puede suponer un ahorro de costes. Se ha monitorizado el comportamiento de los tramos de prueba con RCA mediante la evaluacion continua del pavimento utilizando el Manual para estimar el estado de los pavimentos rigidos del Ministerio de Transporte de Ontario, asi como la textura de la superficie. Asimismo, se doto al pavimento de sensores para controlar su comportamiento en funcion de las condiciones ambientales a largo plazo. Los cuatro tramos de prueba tenian 48 sensores para controlar la flexion y el alabeo de las losas, el desarrollo de tensiones, el movimiento relativo de las juntas, la temperatura y la madurez. Los ensayos previos de laboratorio y los resultados in situ sirven de apoyo para el diseno de una mezcla que contenga un arido grueso reciclado de calidad de un tamano especifico que de como resultado un hormigon con un comportamiento similar o mejor que un hormigon que no contenga aridos reciclados.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".