The phenology and impact of <i>Caliciopsis arceuthobii</i> on lodgepole pine dwarf mistletoe, <i>Arceuthobium americanum</i>This article is one of a collection of papers based on a presentation from the <i>Stem and Shoot Fungal Pathogens and Parasitic Plants: the Values of Biological Diversity</i> session of the XXII International Union of Forestry Research Organization World Congress meeting held in Brisbane, Queensland, Australia, in 2005.
Bibliographic record
Abstract
Arceuthobium americanum Nuttal ex Engelmann in Gray (lodgepole pine dwarf mistletoe) causes significant losses to the timber industry. The fungus Caliciopsis arceuthobii (Peck) Barr shows high specificity to Arceuthobium spp., and therefore infection of A. americanum was monitored for 4 years to determine the effect of this fungus on fruit production. The contribution of stand-level and locally produced inoculum in the infection process was also studied to better understand the epidemiology of the pathogen. Over the period of the study, C. arceuthobii caused an average annual fruit reduction of 58%. When the contribution of local and stand-level inoculum was modelled, the results suggested that on A. americanum infections with ≥ 4 ascospore-producing immature fruit, more than half of the new C. arceuthobii infections on the same plant are derived from locally produced ascospores. The effect of the fungus on the host suggests that it has potential as a biological control agent for A. americanum, and further studies are needed to attempt to induce inoculum production in culture.
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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 | 0.000 | 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".