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Record W7006715256

Waarnemingen van de mosdiertjes <i>Cryptosula pallasiana</i> (Moll, 1803), <i>Bugula stolonifera</i> Ryland, 1960 en <i>Bugula neritina</i> (Linnaeus, 1758) nieuw voor de Belgische fauna

2000· article· en· W7006715256 on OpenAlexaboutno aff

Bibliographic record

VenueFlanders Marine Institute (Flanders Marine Institute) · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Ecology and Invasive Species
Canadian institutionsnot available
Fundersnot available
KeywordsHarbourFaunaCapeBaltic seaBryozoaCommon speciesNova scotia
DOInot available

Abstract

fetched live from OpenAlex

During surveys in the harbour of Oostende three bryozoan species new for the Belgian fauna were found. <i>Cryptosula pallasjana</i> (Moll, 1803) is a common fouling species on ships hulls and other floating objects in the Mercator yachting harbour in Oostende. EIsewhere along the Belgian coast this conspicuous species has not yet been encountered. <i>Bugula stolonifera</i> Ryland, 1960 is abundant in the harbour docks of Oostende where it occurs on ships hulls, floating objects and on all sorts of harbour constructions that remain permanently submerged. The species, which was also present in the harbour of Zeebrugge has shown a remarkable phenomenon. During the summer, some colonies get released from their substrate forming rather spherical, free living colonies. Both species, although only recently discovered, must have beer introduced some years or some decades earlier. The southern species <i>Bugula neritina</i> (Linnaeus, 1758) proved to be very common on a ship's hull at the end of March 1999. The yacht had not sailed very much and certainly not visited southern harbours This was the first occurrence of <i>B. neritina</i> in the Southern North Sea and so far the only one. This species has, contrary to the two former species, not yet established itself along the Belgian coast.

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.

How this classification was reachedexpand

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.003
Science and technology studies0.0030.005
Scholarly communication0.0010.004
Open science0.0050.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0160.004

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 head0.008
GPT teacher head0.214
Teacher spread0.206 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2000
Admission routes1
Has abstractyes

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