DESARROLLO DE UNA BASE DE DATOS DE PUERTOS FRONTERIZOS DE MEXICO
Bibliographic record
Abstract
La modernizacion de la infraestructura de los puertos de la frontera norte es un factor importante para la consolidacion de las relaciones comerciales que existen con Estados Unidos y Canada. En el marco del Comite Conjunto de Trabajo conformado por dependencias tanto de Mexico como de los Estados Unidos de America e involucradas en el area, se han desarrollado los planes maestros fronterizos de cada una de las regiones en que se ha dividido la franja, dichos planes tienen como finalidad coordinar, controlar y dar seguimiento a cada uno de los proyectos a realizarse en los cruces fronterizos. Para el gobierno mexicano es de gran importancia identificar los proyectos u obras prioritarias, que ayudaran a la modernizacion de la infraestructura de los puertos fronterizos. El objetivo de este trabajo es integrar una base de datos de los proyectos futuros, a realizarse en cada una de las regiones, que afecten a la planeacion binacional del transporte. Esta base se conforma a partir de informacion de los planes maestros fronterizos y tiene dos componentes fundamentales. El primero son los datos que se extraen de la informacion de los planes maestros, en los cuales se indican ciertas caracteristicas de los proyectos. El segundo componente es el dato de la georeferenciacion de cada uno de estos proyectos. Para ello cada proyecto se georeferencia con la ayuda del programa Google Earth. Esta base se incorporara en un Sistema de Informacion Geografica de la frontera norte, herramienta que sera utilizada para visualizar la priorizacion de las obras, en las cuales la Secretaria de Comunicaciones y Transportes tiene participacion. Abstract: The modernization of the infrastructure of land ports of entry on the Mexican northern border is an important factor to reinforce the trade relationship with United States and Canada. The Joint Working Committee on Transportation, composed of units from both Mexico and the United States, has developed master plans of each of the border areas. Their aim is to coordinate, control and monitoring each of the projects carried out at border crossings. The identification of projects related to the modernization of the land ports of entry is important for the Mexican government. The aim of this work is to integrate a database with characteristics of the important projects for binational transportation planning. This base will be incorporated into a Geographic Information System that will be used for prioritization of projects, in which the Secretariat of Communications and Transportation has participation. This base is formed mainly from information of border master plans and has two components. The first is the data extracted from the information contained in the border master plans in which certain characteristics of the projects are listed. The second component is the georeferenced data of each projects. These projects are made with the help of the Google Earth program.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".