Survey of Mammal Damage to Tree Fruit Orchards in the Okanagan Valley of British Columbia
Bibliographic record
Abstract
This studr reports or the incidcnce of damage from vole, pocket gopher, and dcer that feed on t.ee fruir orchards in the 0kanasan Valley of British Colunbia, Canada.A secondarr objective was as-.essment of the relativc use of rarious rechnique-( lor cortiol ol this mammal darnage.An on site sanfliig surret 0f l0% of orchardists recorded the intcnsit) of damage {irh respecr to fruit species as rell as age and size of a giren orchard.Rodenl and deer danage, based on tree doftalitt or .educedgrowth and \ield, was rcported for nore ihan 30% and 21% of the orchards, rcspectirely.Some fruit production districls had l0% of orchards sith sevcrc (> l0%) tosses from deer browsing.Young(< l0 Jears old) apple orchards, S ha or norc ir afea were highlv susceptible lo damage bl pocket gophers, voles, and deer.Soil lexturc had litlle effect on incidence of rolc or pocler gopher attack.Toricants Ncfe the mosl wideh used technique for reducing rodent populalions.Fencing uas rle onli, reliable nea.s of prcvcnting deer bro{sing in orchards.Commercial decr rcpellents ofie! provided inconsistert and unrclialrle prote.tionfor frLril t.cc5.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".