Bibliographic record
Abstract
Better knowledge of aerobiological properties of pollen clouds is needed for pines and other woody perennials because these properties shape the predictive accuracy of spatially explicit pollen dispersal models. Four properties were experimentally measured in this study using processed Pinus taeda L. (loblolly pine) pollen as well as pollen concentration and viability data collected from an 18-year-old P. taeda plantation. Results showed that P. taeda pollen had a settling or terminal velocity value of 2.1 cm·s –1 ; that daytime pollen count from a plantation was sparse, reaching a maximum of 1480 grains·m –3 at peak pollen shed; and that pollen concentration showed no vertical gradient above or below the plantation’s canopy. Pollen sampled above and within the canopy had comparable germination rates. Surprisingly, a low concentration of viable Pinus spp. pollen was present during nighttime. Study results added further to the idea that P. taeda pollen has a higher nuisance value than either Zea mays L. (maize) or Agrostis stolonifera L. (creeping bentgrass) pollen because of its low terminal velocity value, persistent viability, and perennial production.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".