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Record W4416776608 · doi:10.18261/let.59.1.7

Habits of highly effective worms: brachiopod host preferences of North American Devonian microconchids and cornulitids

2025· article· en· W4416776608 on OpenAlexaff
Galadriel Tremaine, Chris L. Schneider, Lindsey R. Leighton

Bibliographic record

VenueLethaia · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDevonianHost (biology)Late Devonian extinctionPaleoecology

Abstract

fetched live from OpenAlex

Sclerobiont host preferences are not always clear or consistent between studies, and some of this difficulty comes from treating sclerobionts as a single group, rather than investigating the patterns and preferences seen in specific taxa. We examined the brachiopod host preferences of two sclerobiont groups, microconchids and cornulitids, from the Iowa Basin (Lime Creek Formation), Michigan Basin (Traverse Group), and Appalachian Basin (Hamilton Group) (Devonian, North America). Microconchids preferred hosts with ‘Medium’ costae or plicae over those with smooth valves; they also were less likely to encrust spiriferide brachiopods, although it is unclear whether this is due to the widely spaced plicate topography of spiriferide valves or another factor of their morphology. Cornulitids were only common in the Appalachian Basin, where they showed a preference for the brachiopod Tropidoleptus.

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 score0.977
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.214
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

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 abstractno

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