Climate Change Trends in Colombia: A Case Study in Facatativá, Cundinamarca
Bibliographic record
Abstract
Climate change modifies the average climate behavior over a long period, generated by natural phenomena or anthropogenic causes. This change has an important impact on climate variables, such as temperature and precipitation, worldwide but also has various effects on the local scale. The purpose of this research was to determine climate behavior and the magnitude of climate change in the last 30 years in the municipality of Facatativá, Cundinamarca. Precipitation and temperature were analyzed using data from climatological stations around Facatativá, which belong to the Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM) and the Corporación Autónoma Regional de Cundinamarca. These data provided the average temperature in this municipality, between 9.2℃ and 14.0℃, with an increasing trend between 0.00℃/yr to the west and 0.03℃/yr to the east of the municipality. The Precipitation ranged between 781 mm/yr and 1200 mm/yr, with an increasing trend of between 3.0 mm/yr in the west and 12.0 mm/yr in the northwest.
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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 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".