Gremios de aves en agroecosistemas del Pacífico Central de Costa Rica y su importancia para la conservación
Bibliographic record
Abstract
Entre julio y diciembre de 2004, se realizaron muestreos de aves en 12 fincas ganaderas del Pacífico Central de Costa Rica, para evaluar la riqueza y la abundancia de gremios de aves y la presencia de especies de importancia para la conservación. Para el muestreo de aves se establecieron parcelas en todos los usos de la tierra existentes dentro de cada finca, y en el centro de éstas se ubicaron puntos de conteo de aves con un radio fijo de 25 m, haciendo registros durante 10 minutos. Se encontró que el gremio más abundante es el de las insectívoras y se registraron 23 especies de importancia para la conservación. Se concluye que para la conservación de estas especies, resulta fundamental la conservación de los relictos de bosque dentro de este tipo de sistemas productivos.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".