The biology of<i>Stellaria longipes</i>(Caryophyllaceae)
Bibliographic record
Abstract
During the past 30 years of research on Stellaria longipes Goldie, much has been learned about the taxonomy, cytology, reproductive biology, genetic variation, and phenotypic plasticity of this highly successful, circumpolar species. The conclusion that a S. longipes complex exists where two diploid progenitors ( Stellaria longifolia Muhl. (2n = 26) and Stellaria porsildii Chinnappa (2n = 26)) hybridized to produce polyploid S. longipes (2n = 52, 2n = 78, 2n = 104) was determined following extensive cytological and morphological studies. Interspecific hybridization is also common with S. borealis (2n = 52). The genetic variation and phenotypic plasticity contributing to the population differentiation within the S. longipes complex was investigated using isozyme, RFLP, and RAPD analyses, and comparative morphological studies. In later years, the focus shifted to elucidating the physiological and molecular aspects regulating the stem elongation plasticity observed in response to different temperatures, photoperiods, and different red/far red ratios. The roles of the phytohormones, ethylene, gibberellins, and abscisic acid were investigated in alpine and prairie ecotypes of S. longipes, and the phytochrome multigene family members were cloned. The presence of multigene families and a complex phytohormone interaction are postulated to underlie the extensive phenotypic plasticity observed in S. longipes.
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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) | 0.000 | 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".