Mosses (Bryophyta) and liverworts (Marchantoiphyta) of the Zackenberg valley, northeast Greenland
Bibliographic record
Abstract
The moss and liverwort flora of Zackenberg valley in the Northeast Greenland National Park has been studied based on field investigations and literature survey. Altogether 212 taxa are recorded in the area, with 43 liverworts and 169 mosses. Five taxa are reported as new to Greenland Lophochaete fryei (Perss.) R.M. Schust., Sphagnum orientale L.I. Savicz, Orthothecium lapponicum (Schimp.) C. Hartm., Pohlia vexans (Limpr.) H. Lindb. and Tortella alpicola Dixon. Additionally four taxa are reported as new to east Greenland; Grimmia plagiopodia Hedw., Riccardia latifrons (Lindb.) Lindb. Sphagnum olafii Flatberg and Tritomaria exsectiformis (Breidl.) Schiffner ex Loeske. The bryophyte flora of the Zackenberg valley is characterised by pioneer species adapted to disturbance by frost and wind, but also more stable communities exist especially at the lower part of the valley with wet to moist tundra. The Zackenberg valley bryophyte flora shows higher similarity with the flora on Svalbard (81%) compared with Ellesmere Island (67% and 60% for liverworts and mosses, respectively). This is consistent with east Greenland and Svalbard belonging to the North Atlantic Arctic flora province while Ellesmere Island belongs to the Canadian Arctic flora province
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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".