Determinación De Áreas De Inundación En El Municipio De Chia- Colombia Mediante Hec-Ras En La Cuenca Baja Del Río Frio
Bibliographic record
Abstract
The phenomenon La Niña caused flooding in Colombia during 2010 and 2011, especially in the upper basin of the Bogota River, this natural risk has produced major property damage and a decrease in socio-economic conditions in major urban and rural centers. For that reason, this paper presents a determination of the floodplain of the lower basin of the Rio Frio in the urban area of Chia Colombia by HEC RAS. The model allowed to determine the maximum water levels reached on the floodplain of the Rio Frio as it passes through the urban area of Chia, for return periods of rainfall of 2.33, 5, 10, 25, 50 and 100 years. Finally recommendations for the planning of the municipality in terms of these areas found are made.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".