Evaluación del pavimento flexible mediante métodos del Pci y Vizir en el tramo de La Carretera de Monsefu - Puerto Etén
Bibliographic record
Abstract
En la tesis “EVALUACIÓN DEL PAVIMENTO FLEXIBLE MEDIANTE \nMETODOS DEL PCI Y VIZIR EN EL TRAMO DE LA CARRETERA DE \nMONSEFU-PUERTO ETÉN.” tiene como objetivo principal. Evaluar el pavimento \nflexible con los métodos PCI y VIZIR sobre el tramo de la via del pavimento de la \ncarretera del distrito de Monsefu-Puerto Etén; provincia de Chiclayo y departamento de \nLambayeque, con fin de conocer la condición del pavimento flexible existente. \nEn el cálculo del PCI se evaluo 30 unidades de muestra con lo cual arrojo los siguientes \nresultatos: un promedio de 33.8% indica que su índice superficial obtenido, la cual se \ncomparó con la calificación de la tabla del PCI se encontraba entre 40-25, por lo cual su \ngrado de deterioro es malo. \nEn los resultados de la medición del método VIZIR, se tomo las mismas muestras del \nmétodo anterior obteniendo que: según las tablas del método nos indica que índice \nsuperficial 3.97% obtenido nos indica que es un pavimento regular. \nY finalmente comparamos los resultados de ambos métodos con los métodos, PCI \nmuestra que un pavimento malo y con VIZIR según su evaluación es regular.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".