Leaf architecture of terrestrial and epiphytic ferns from an Araucaria forest in southern Brazil
Bibliographic record
Abstract
Studies of angiosperms have associated the mechanical design of petioles with leaf form and the occurrence of simple and compound leaves. Petiole anatomy can respond differently, according to different leaf forms, to maintain plant architecture. The present study evaluated whether this premise applies to fern leaf architecture. Leaves of five ferns (Blechnum binervatum (Poir.) C.V. Morton & Lellinger, Ctenitis falciculata (Raddi) Ching, Megalastrum connexum (Kaulf.) A.R. Smith & R.C. Moran, Microgramma squamulosa (Kaulf.) de la Sota, and Serpocaulon catharinae (Langsd. & Fisch.) A.R. Sm.) from a remnant of an Araucaria Forest in southern Brazil were collected and their morphological and anatomical traits were analyzed. Results indicate that the biomechanical patterns of these terrestrial and epiphytic ferns are similar to those reported for angiosperms, except for the presence of subepidermal sclerenchyma in fern petioles. Independently of leaf form, the rigid structure of fern petioles appears to be an important adaptation to biomechanically support leaf position for maximum light interception in forest understories.
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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) | 0.000 | 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".