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Record W2037340299 · doi:10.1139/z03-034

Functional morphology and feeding strategy of the hydrothermal-vent polychaete <i>Archinome rosacea</i> (family Archinomidae)

2003· article· en· W2037340299 on OpenAlexvenueno aff
Megan E. Ward, Cheryl Jenkins, Cindy Lee Man Dover

Bibliographic record

VenueCanadian Journal of Zoology · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsnot available
FundersNational Science Foundation
KeywordsPolychaeteBiologyAnnelidTrophic levelForegutPredationEcologyInvertebrateAppendageMidgutAnatomyZoologyLarva

Abstract

fetched live from OpenAlex

Polychaetes are a large component of deep-sea hydrothermal-vent invertebrate faunas, yet little is known about the trophic ecology of most species. In this study, the feeding mode of a common and widespread vent polychaete, Archinome rosacea (order Amphinomida), is investigated through morphological studies and gut-content analyses. The foregut of this polychaete is similar in structure to that of other shallow-water Amphinomida. Prey capture is facilitated by a ventral muscular eversible proboscis with two glandular lateral-lip structures. Extracellular digestion is suggested by packets of digestive enzymes observed to be discharged from the apical ends of the midgut epithelial cells into the lumen. Midgut tissues also contain inclusions resembling spherocrystals, possibly sites where toxic materials are sequestered. Gut-content analyses indicate a preference for mobile prey, including polychaetes and crustaceans. We propose that predation and scavenging are important trophic strategies for A. rosacea.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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

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 head0.021
GPT teacher head0.202
Teacher spread0.181 · 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

Citations10
Published2003
Admission routes1
Has abstractyes

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