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Record W4410061750 · doi:10.1002/bes2.70019

Deep‐Sea Interactions Between Fishes and Sea Lilies: Paleoecological Implications

2025· article· en· W4410061750 on OpenAlexaff
Przemysław Gorzelak, Mariusz A. Salamon, Charles G. Messing, Tomasz K. Baumiller

Bibliographic record

VenueBulletin of the Ecological Society of America · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsCegep de Sept Iles
Fundersnot available
KeywordsOceanographyBiologyDeep seaEcologyGeology

Abstract

fetched live from OpenAlex

Photo 1. Selected Crinoidea observed during submersible dives on the slope of Isla de Roatán, Honduras. In each photo, injured/regenerating arms are indicated by an arrow. Cenocrinus asterius, ~150 m depth (A); Stylometra spirifera, ~300 m depth (B); Democrinus sp., 240 m depth (C); Holopus mikihe, 620 m depth (D). Photo credit: Charles G. Messing and Tomasz K. Baumiller (A–D). Photo 2. Antagonistic interactions between fish (Ophidiiformes) and one of the isocrinid individuals (Endoxocrinus parrae). Initially the fish is on the aboral side of the crinoid's strongly, flexed arms (A). The fish moving to the crinoid's adoral side and making quick strikes directed at the tips of the arms (B, C). Arm-flailing by the crinoid pushes the fish away from the crown (D). Photo credit: Przemysław Gorzelak (A–D). These photographs illustrate the article “Fish-sea lily interactions as observed from a submersible – paleoecological implications” by Przemysław Gorzelak, Mariusz A. Salamon, Charles G. Messing, Tomasz K. Baumiller published in Ecology. https://doi.org/10.1002/ecy.70092

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 score0.030
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.013
GPT teacher head0.225
Teacher spread0.212 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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