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Record W4385458548 · doi:10.12681/mms.34329

Capturing the moment:a snapshot of Mediterranean bryozoan diversity in the early 2023

2023· article· en· W4385458548 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMediterranean Marine Science · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Ecology and Invasive Species
Canadian institutionsnot available
FundersNorges ForskningsrådUniversità di Catania
KeywordsBiodiversityFaunaTaxonGlobal biodiversityEcologyIndigenousGeographyPhylumSpecies diversityBiologyPaleontology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0020.005
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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.

Opus teacher head0.042
GPT teacher head0.250
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it