Proyecto de inversión para la implementación de un sistema de seguridad en los medios de transportes masivos de la ciudad de Guayaquil: caso segur s.a.
Bibliographic record
Abstract
Nowadays, the assaults in the massive transport are very common, what for ask where Do They Happen?, since these happen at any time of the day and just an instant specially in zones depopulated due to small safety police officers hiring or positions of immediate assistance, in some places of the City. The problem of insecurity becomes difficult to be able to confront it due to the fact that they are considered to be small daily cases for what they take disinterest to the happened thefts. In spite of the exposed thing, the safety system will warn us when the massive transport has been invaded by some person or dangerous object, by means of a typical noise or sharp sign. This means, it will be connected to a head office of private alertness (NATIONAL POLICE) that after a few minutes the police personnel will be present. Therefore, a wireless card will be integrated to send information and for this location the system will use GPS (GLOBAL POSITIONING SYSTEM). Several fields will be analyzed where the system of the sensors is used as airports, tunnels (eye of eagle), malls, banks. Etc., the daily work of the State police will be investigated in administrative and juridical ways. For such a motive, it is important that the country count with this type of Technological Project in order that the population should have more safety at the moment of using transportation , like the bus without need of that the passengers take justice with his own hands confronting the antisocial.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".