A morphometric comparison of three closely related species of <i>Gentiana</i> (Gentianaceae), endemic to the region of the Qinghai–Tibet Plateau
Bibliographic record
Abstract
Gentiana section Cruciata (Gentianaceae) is mainly found on alpine mountains across Eurasia, with the greatest species diversity occurring on the Qinghai–Tibet Plateau. Gentiana crassicaulis Duthie ex Burk. and the closely related species Gentiana robusta King ex Hook. f. and Gentiana tibetica King ex Hook. f. in sect. Cruciata show extremely high morphological similarity, which could be one of the main reasons for their misidentification. This study targets the authentication of the three closely related species in section Cruciata using morphometric analysis of flower shape. We collected 130 individuals in 14 populations of G. crassicaulis, 38 individuals in 12 populations of G. tibetica, and 45 individuals in 13 populations of G. robusta throughout the respective geographical ranges of the species. We used the parameters for bract length (l1), bract width (w1), inflorescence circumference (c), inflorescence width (w2), calyx length (l2), and corolla length (l3) to quantify the flower shape. The analyses showed that the parameters Rb (l1/w1), Ri (w1/w2), and l3 were significantly different between two of the species: G. crassicaulis and G. tibetica could be identified through corolla length, and although very similar to G. crassicaulis and G. tibetica, G. robusta is distinguishable using the parameters Rb and Ri.
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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 | 0.001 | 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".