Efecto de tres dietas energético-proteicas en la población y producción de miel de colonias de abejas melíferas (Apis mellifera)
Bibliographic record
Abstract
Abstract The objective of this study was to compare the population, weight and honey production of honey bee (Apis mellifera) colonies fed with three different energy-protein diets based on a feed supplement made with brewer's yeast and pollen, in combination with 55% high fructose corn syrup (JMAF), or sucrose syrup (JA), or inverted sucrose syrup (JAI). Ninety colonies equalized in terms of population size, food stores and queen origin and age were used. All colonies were fed the protein supplement, but 30 of them were fed JMAF, 30 JA and 30 JAI. The adult bee population, capped brood area, weight and honey production of the colonies was determined at 27, 49 and 76 days after they were established and fed with the diets. Colonies fed JMAF were significantly heavier than those fed JA and JAI, between which there were no differences. JMAF-fed colonies produced significantly more honey (35.8 ± 3.35 kg) than those fed JA (28.2 ± 2.65) and JAI (24.8 ± 2.70 kg), between which there were no differences. These results suggest that the use of JMAF in combination with a protein supplement to stimulate honey bee colonies represents a more efficient option than the use of JAI and JAI with protein supplementation.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".