Cuticles from Pennsylvanan Marattialean Fern<i>“Pecopteris” Polypodioides</i>(C. Presl in Sternberg) Němejc from Pilsen Basin (Czech Republic) and Sydney Coalfield (Canada)
Bibliographic record
Abstract
Abstract Pennsylvanian fossil-fern cuticles are notoriously difficult to extract, little can be found in the palaeobotanical literature, yet they can supply significant taxonomic/systematic, phytostratigragphic, and palaeoenvironment information. This is demonstrated for cuticles from “Pecopteris” polypodioides of the coal basins in the Czech Republic and Canada. “Pecopteris” polypodioides is a marattialean tree fern which was part of the peat-forming flora, growing in a wet environment. Due to this fact, cuticles are generally very thin, and we assume that their major function was to reduce the ability of fungal spores to germinate and bacterial to grow, thereby reducing the possibility of these agents to cause disease. The secondary function was to be a major barrier to water loss and reducing the wettability of pinnules.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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".