Analisis polinico de mieles de los Parques Naturales Los Alcornocales y Sierra de Grazalema.
Bibliographic record
Abstract
RESUMEN. Análisis polinico de mieles de los Parques Naturales Los Alcornocales y Sierra de Grazalema. Seha realizado el análisis microscópico de 7 muestras de miel de los Parques Naturales Los Alcornocales y Sierra de Grazalema. Las muestras fueron proporcionadas directamente por los apicultores. Los resultados reflejan que el nectar de las flores es la principal fuente de miel en el territorio y que una muestra pertenece a la Clase I de Maurizio, cinco a la Clase II y una a la Clase V, siendo el número de granos de polen en 10 gr. de miel entre 17.500 y 1.592.700. Se han identificado 41 tipos polínicos, perteneciendo a 17 familias botánicas, resultando dos mieles monoflorales: una de girasol y otra de eucalipto.Palabras clave. Girasol, Eucalipto, Melitopalinología, Parque Natural Los Alcornocales, Parque Natural Sierra de Grazalema.ABSTRACT. Pollen analysis of honeys from the Natural Parks Los Alcornocales and Grazalema Range. Seven honey samples from different localities of The Natural Parks Los Alcornocales and Grazalcma Range have been studied by light microscopy. The results show that the nectar from flowers is the main honey source in the region and that one sample belongs to the Maurizio Class 1, five to the Class II and one to the Class V, with 17.500-1.592.700 pollen grains per 10 honey gram. 41 pollen types were identified belonging to 17 families, and two honey samples are unifloral: one of sunflower and one of eucalyptus.Key words. Sunflower, Eucalyptus, Melissopalynology, Natural Park Los Alcornocales, Natural Park Grazalema Range.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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".