Bumble bees influence berry size in commercial<i>Vaccinium</i>spp. cultivation in British Columbia
Bibliographic record
Abstract
Abstract We studied the abundance, diversity, and dispersion patterns of managed and wild bee (Hymenoptera: Apoidea) populations in commercial highbush blueberry and cranberry (Ericaceae:Vaccinium corymbosumL.,Vaccinium macrocarponAit.) fields in the Fraser Valley of British Columbia, and assessed their potential as pollinators of these crops by determining which groups of bees had the greatest impact on percent yield and mass of berries. Bumble bees were evenly distributed within both crops. Other wild bee species were well distributed in blueberry fields but generally remained at edges of cranberry fields. Percent berry yield was not related to bee abundance for any group of bees, nor was species diversity correlated with berry mass. Blueberry mass and cranberry mass were related to abundance of bumble bees but not to that of honey bees or other wild bees. Bumble bees are recommended as potential alternative pollinators of these crops.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".