IDENTIFICACION DE IMPACTOS GENERADOS POR EL RETAMO ESPINOSO EN LA VEREDA SANTA ROSA LOCALIDAD CIUDAD BOLÍVAR.
Bibliographic record
Abstract
El retamo espinoso (Ulex europaeus L.), es una especie exotica invasora (EEI) peligrosa que se establece en todos los continentes del mundo debido a sus caracteristicas fisiologicas, botanicas, dendrologicas y ecologicas, esta se adapta con facilidad representando asi un alto riesgo ambiental ya que compite con las especies de flora y fauna endemicas de diferentes paises del mundo como Colombia, Estados Unidos, Canada; Costa Rica; Brasil, Bolivia, Chile, Argentina, Islas Canarias, Australia, Sur Africa, Madagascar, India, Birmania, Japon hasta el punto invadir grandes porciones de ecosistemas nativos.Debido a la invasion del retamo en fincas dedicadas al sector agropecuario en la vereda Santa Rosa la localidad Ciudad Bolivar (Bogota, Colombia) se ha materializado un riesgo economico en las comunidades campesinas, las cuales basan su fuente de ingresos en el sector agropecuario, ya que implica perdidas de terrenos cultivables, las lesiones en el ganado lo cual genera reprocesos, generandose perdida de dinero, tiempo y desmotivacion al sector agropecuario, donde el campesino debe invertir recursos adicionales para el control del retamo impactandose los ingresos de la poblacion afectada por esta invasion.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".