pennsylvanica Marsh. Propagation of Ornamental Plants, 5: 113-118. Bailey L. H. (1891). The Nursery-Book: A Complete Guide To The Multiplication And Pollination Of Plants. The Rural Publishing Company, New York, XI + 365 pp.
Bibliographic record
Abstract
in swamp white oak and northern red oak. Canadian Journal of Forest Research, 33: 705-711. Hamooh B. T., Read P. E., Yang G. (2001). Forcing solution technology generates quality propagules. IPPS, North American Region, Plant Propagator, 13: 15-18. Henry P. H., Preece J. E. (1997a). Production and rooting of shoots generated from dormant stem sections of Acer species. HortScience, 32: 1274-1275. Henry P. H., Preece J. E. (1997b). Production of shoots from dormant Acer as influenced by length and caliper of stem sections. Journal of Environmental Horticulture, 15: 153-156. Ledbetter D. I., Preece J. E. (2003). Forcing softwood shoots, rooting, and micropropagating Hydrangea quercifolia Bartr. Propagation of Ornamental Plants, 3 (2): 3-10. Mansouri K., Preece J. E. (2006). The influence of plant growth regulators on budbreak and shoot growth from large stem segments of Acer saccharinum L. HortScience, 41: 984 (Abstract).
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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.007 |
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".