Structure of Alnus fruticosa Rupr. s. l. and its relationships with other taxa of subgenus Alnobetula (Ehrhart) peterman
Bibliographic record
Abstract
The reliability of morphological parameters of Alnus fruticosa s. l. on the territory of Asian Russia was studied. It has been revealed that the species has a complex internal structure stipulated by the climatic and forest-growing conditions in different parts of the range. The results of phenotypic variability and sequences of internal transcribed spacer ITS1 of nuclear ribosomal DNA of the taxa of the subgenus Alnobetula indicate the species rank of Alnus viridis and subspecies rank of A. fruticosa, A. sinuata , and A. crispa with the priority species name A. crispa. A. maximowiczii, A. glutipes, A. kamtschatica , and A. mandshurica are the result of intraspecific variability of the polymorphic species A. fruticosa .
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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 | 0.000 | 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 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".