Mamíferos del departamento de Córdoba-Colombia: historia y estado de conservación
Bibliographic record
Abstract
"Se presenta el listado taxonómico de los mamíferos presentes en el departamento de Córdoba. Fueron revisados datos de colecciones científicas de referencia de museos nacionales y extranjeros, para lo cual se incluyen resultados de investigaciones de los grupos de investigación Biodiversidad Unicórdoba (Universidad de Córdoba) y del Laboratorio de Ecología Funcional-Unidad de Ecología y Sistemática (UNESIS) (Pontificia Universidad Javeriana). Se revisaron las bases de datos de 13 museos de Norteamérica (MaNIS), además de los registros encontrados en el Smithsonian National Museum of Natural History (NMNH), Royal Ontario Museum (ROM), Texas Cooperative Wildlife Collection (TCWC) y USA Field Museum of Natural History (FMHN). Los mamíferos del departamento de Córdoba están representados por 40 familias, 90 géneros y 117 especies. La mayor riqueza se presenta en las subregiones del alto Sinú y San Jorge, con especies del orden Chiroptera (45,3 %), seguido de Carnivora (12 %), Rodenti a (10,3 %) y Cetacea (9,4 %)."
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.167 | 0.006 |
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; both teacher heads agree on what is shown here.
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".