Geographic variation in the effect of lodgepole pine characteristics on mountain pine beetle attacks and productivity in British Columbia.
Bibliographic record
Abstract
The mountain pine beetle, Dendroctonus ponderosae Hopkins (Coleoptera: Curculionidae: Scolytinae), is the most destructive bark beetle in mature lodgepole pine (Pinus contorta Dougl. Ex Loud.var. latifolia Engelm.) forests in western Canada... The current outbreak in British Columbia is the largest in recorded history... Host factors and historic climate affecting attack dynamics and pupal chamber productivity of MPB on lodgepole pine were examined in southern and north central BC. Trees were felled and intensively sampled in fourteen pine-leading stands. A between-subjects two-by-two factorial ANOVA was conducted to analyze the effects of historic climate and biogeoclimatic subzone on MPB attack and productivity parameters. The effect of dbh on mean gallery start densities was not different between regions, while mean pupal chamber density was significantly higher in areas of historically low climatic suitability than in areas with historically high climatic suitability. Results indicate that north central trees are more suitable for pupal chamber production than southern. Lack of selection pressure in areas of low climatic suitability for mountain pine beetle may be the explanation for this relationship.
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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 | 0.001 |
| 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".