MARCAS VIALES DE ALTA VISIBILIDAD EN CONDICIONES ATMOSFERICAS DESFAVORABLES
Bibliographic record
Abstract
Despues de definir los conceptos de retrorreflexion, reflexion difusa y reflexion especular, a continuacion se presenta la simulacion de la vision de una marca vial tanto en seco como en mojado, mediante el programa informatico desarrollado por el grupo de trabajo COST 331 Requisitos para la Senalizacion Horizontal de Carreteras. El programa simula actuaciones de conduccion en funcion de diferentes variables, obteniendose como resultados la distancia de visibilidad de la marca vial y el tiempo de previsualizacion. Se considera que el tiempo de previsualizacion minimo de seguridad es de 1,8 segundos, siendo recomendado para garantizar el confort del conductor de hasta 3 segundos. El exito de la senalizacion horizontal se debe a su propia visibilidad, es decir que, debido a sus caracteristicas fotometricas la marca vial sea vista en cualquier circunstancia, la informacion que se transmite con la senalizacion horizontal debe ser la misma para todos los usuarios de la via: de dia o de noche y en condiciones climatologicas adversas (en seco o bajo la lluvia). Ver ficha general ITRD S404796
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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".