Morphometric factors as conditioning variables in the occurrence of floods in the Serafim Stream basin, subbasin of the Paraibuna River, Juiz de Fora, MG
Bibliographic record
Abstract
As they encourage the monitoring of natural changes introduced by man such as soil use and occupation, basins should be considered as planning units because they allow for the monitoring of their activities in order to preserve natural resources. This study aims to characterize the watershed of the Serafim Stream, subbasin of the Paraibuna River, located in Juiz de Fora, MG, regarding its morphometric features. To do this, it was necessary to limit the basin area inserted in the map by IBGE (Juiz de Fora SF - 23 - X - D - IV - 1, scale 1:50,000). The basin has an area of 39.8 km2, drainage order equal to five and guidance to the northeast. The drainage pattern has been classified as dendritic, indicating average drainage capacity. Through the correlation between the morphometric factors, it can be stated that the basin has a median susceptibility to flooding.
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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 | 0.000 | 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".