The classification of dwarf mistletoes (<i>Arceuthobium</i> spp., Viscaceae) in section <i>Campylopoda</i>, series <i>Campylopoda</i>
Bibliographic record
Abstract
The taxonomic classification of dwarf mistletoes (Arceuthobium spp., Viscaceae) is complicated due to their reduced morphology, requiring the integration of not only morphology but also phenology, geography, and host relationships. This has been particularly true for the classification of taxa in subgenus Vaginata, section Campylopoda, series Campylopoda. Most of the species in this group have been recently circumscribed in synonymy with or reduced to subspecies of Arceuthobium campylopodum Engelm; however, we contend they deserve separate species recognition. To address this question, we have conducted morphological analyses of the taxa in ser. Campylopoda using univariate and multivariate statistical analyses. Our results have demonstrated that these taxa can be determined to species using morphological data without consideration of geographic location or host specificity; however, the host specialization and geographic distribution exhibited by these taxa also supports their classification as species. Here, we discuss the evidence supporting the specific classification of ser. Campylopoda taxa. This taxonomic framework permits the treatment of several dwarf mistletoe populations with geographically restricted distributions, fewer morphological differences, and specialized host affinities as subspecies of Arceuthobium abietinum (Engelm.) Abrams, Arceuthobium microcarpum (Engelm.) Hawksw. & Wiens, and Arceuthobium tsugense (Rosend.) G.N.Jones. It is also the most practical classification for the management of these economically and ecologically important parasitic plants.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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".