Novelties in the genus Acalypha (Euphorbiaceae, Acalyphoideae): two new species from northern Madagascar
Bibliographic record
Abstract
Background and aims – Taxonomic knowledge of Acalypha in the Western Indian Ocean Region (WIOR; including Madagascar, Comoros, Mascarenes, Seychelles, and the Scattered Islands) has increased greatly in the last few years. This paper is the latest in a series of publications that have contributed to create a robust taxonomic framework for Acalypha in this region. Material and methods – The descriptions and illustrations of the new species are based on herbarium specimens and on some field images. Descriptions were made following standard procedures. Maps was prepared using QGIS software and preliminary conservation assessments was made following IUCN guidelines and criteria. Key results – Two species of Acalypha from northern Madagascar are described as new to science: Acalypha bardotiana sp. nov., found on the Montagne des Français (Diana region), and Acalypha inaequibracteata sp. nov., found in the Binara forest (Sava region). Line drawings, field images, distribution maps, and a discussion of their morphological and phylogenetic affinities, as well as the preliminary conservation assessments are provided.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".