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Record W4285011605 · doi:10.1080/00222933.2022.2068387

Biofouling hydroids (Cnidaria: Hydrozoa) from a Tropical Eastern Pacific island, with remarks on their biogeography

2022· article· en· W4285011605 on OpenAlexaff
Dale R. Calder, James T. Carlton, Inti Keith, Gail V. Ashton, Kristen Larson, Gregory M. Ruiz, Esteban Herrera, Geiner Golfin

Bibliographic record

VenueJournal of Natural History · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Invertebrate Physiology and Ecology
Canadian institutionsRoyal Ontario MuseumRoyal British Columbia Museum
Fundersnot available
KeywordsHydrozoaCnidariaHydroid (botany)BiologyEcologyJellyfishZoologyBiogeographyCoelenterataCoralBotany

Abstract

fetched live from OpenAlex

The hydroids of Cocos Island (Isla del Coco), Costa Rica, have received scant attention and are poorly known.Only 11 species have been reported from there previously, with five of them being stylasterids.Hydroids examined here were collected during 2019 in a search for invasive species, as part of a fouling survey.Fourteen species -three anthoathecates and 11 leptothecates -were identified in the collection.All represent new records for Cocos Island, elevating its number of reported species to 25.The most abundant species in the collection were Clytia obliqua (Clarke, 1907) and Sertularella affinicostata Calder and Faucci, 2021, found in 11 of 42 samples (26%), and Tridentata borneensis Billard, 1925a, present in nine (21%) of them.Nematocysts of Corydendrium flabellatum Fraser, 1938a and Eudendrium cf.certicaule Fraser, 1938a are newly identified, measured and illustrated.Three species (Clytia brevithecata (Thornely, 1900), Halopteris alternata (Nutting, 1900) and Macrorhynchia philippina Kirchenpauer, 1872), are introduced, with the rest assigned to a native or cryptogenic status.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.002

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 head0.007
GPT teacher head0.164
Teacher spread0.157 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations5
Published2022
Admission routes1
Has abstractyes

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