Capturing the moment:a snapshot of Mediterranean bryozoan diversity in the early 2023
Bibliographic record
Abstract
This paper is an update on the Mediterranean bryozoan diversity since the annotated check-list of Rosso & Di Martino (2016), following the publication of numerous new papers describing new taxa and new species, and adding new records of non-indigenous species. Of the 32 new species described, some replace records of cosmopolitan or widespread species, while some others are the result of the dismantling of species complexes. New records include mainly species and genera previously known from the near Atlantic and subordinately from the Pacific. In addition to replacements, removal of species/genera is also linked to formalized synonymies. These changes also reflect on the composition and representation of families. The updated bryozoan fauna consists of 587 species, 220 genera and 99 families. The different order proportions remain largely unchanged with cheilostomatids (c. 77%) dominating over cyclostomatids (c. 13%) and ctenostomatids (c. 10%). Ten families account for about half of the total species diversity. The new available information is the result of the investigation of habitats and localities previously overlooked, the examination of museum historical collections, as well as a more routinely use of Scanning Electron Microscopy with increasing support from molecular sequencing. Updated biodiversity check-lists represent a unique, simple tool to monitor biodiversity in agreement with the Kunming-Montreal Global Biodiversity Framework adopted by the United Nations.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".