Study of Technological Surveillance in Electric River Mobility for Cargo Transport on the Atrato River, Colombia
Bibliographic record
Abstract
Electric mobility is a modality that has been implemented worldwide, however, the importance of the use of this type of environmentally friendly energy occupies a space at the top of this list that to provide solutions in this regard, the National Navy through the Corporation of science and technology for the development of the maritime and river naval industry (COTECMAR), As part of the project executor, Design of an Eco-friendly electric vessel (ECOTEA) for cargo transport on the Atrato River, Colombia, the research project was carried out, technological surveillance study to know the advances and state of development in electric river mobility for cargo transport as an applicable alternative in the Atrato River, in Colombia, as part of the Energy Transformation for Environmentally Friendly Eco Transport, carried out by institutions recognized by the Ministry of Science, Technology and Innovation, such as: the National University, Center for Research and Administrative Planning (CEIPA), Technological University of Chocó, University of Cartagena, the Institute of Environmental Research of Chocó and the Colombian Institute of Technical Standards and Certifications (ICONTEC), as co-executors of the project. The justification for this research project is based on the UN's Sustainable Development Goals, specifically number 7, which seeks to guarantee access to safe, sustainable and modern energy, as well as the commitments acquired by Colombia through the river master plan, which has as its main objective to obtain a more competitive river system. clean, safe and beneficial for national development, with the design and construction of an ecologically friendly vessel (ECOTEA), specifically on the Atrato River, benefiting an estimated population of 370 thousand people in the energy transition program. The development of the research was descriptive with a qualitative approach because it contributed to the planning of the roadmap to be drawn.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".