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Record W2158208424 · doi:10.2110/jsr.2007.059

Diagenetic Versus Biotic Accretionary Mechanisms of Bryozoan–Sponge Buildups (Lower Silurian, Anticosti Island, Canada)

2007· article· en· W2158208424 on OpenAlexafffundabout
André Desrochers, Pierre‐André Bourque, Fritz Neuweiler

Bibliographic record

VenueJournal of Sedimentary Research · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsUniversité LavalCarleton University
FundersNatural Sciences and Engineering Research Council of CanadaDeutsche Forschungsgemeinschaft
KeywordsGeologyDiagenesisSpongePaleontologyGeochemistry

Abstract

fetched live from OpenAlex

Abstract Lower Silurian mud-rich fenestrate bryozoan–sponge buildups of Anticosti Island (Québec, Canada) display facies ranging from fenestrate bryozoan cementstone to crinoid and fenestrate bryozoan hash mudstone–wackestone with distinctive polymud fabric, sponge spicules, and stromatactis. These buildups consist of a massive core with thinner stratiform counterparts that show no significant compositional variation, raising the question as to how such a deposit could have accreted. These features are similar to those mentioned for many Paleozoic carbonate mounds, in particular the Lower Carboniferous Waulsortian or Waulsortian-type mounds. Here, the combination of petrographic, fluorescence spectrometric, and geochemical evidence (carbon and oxygen stable isotopes, rare earth elements + yttrium) shows that the accretionary mechanisms of the Anticosti buildups were the results of marine cement precipitation near the sea floor for the fenestrate cementstone facies, and of early calcification of sponge-derived organic matter (organogenic lithification) within the sediment for the crinoid and fenestrate bryozoan hash mudstone–wackestone facies. Thus, the accretionary mechanisms of Anticosti fenestrate bryozoan–sponge buildups are essentially diagenetic, and conventional mechanisms invoked for reef growth, such as frame building, or sediment trapping, or binding based on the preserved fauna or flora, do not constitute an appropriate explanation for such Paleozoic mud-rich buildups. These conclusions may well shed light on the more general ongoing debate as to the origin and accretionary mechanisms of carbonate mudmounds.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 integrity0.0000.001
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 head0.042
GPT teacher head0.302
Teacher spread0.260 · 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 teacher head, not a consensus.

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

Citations26
Published2007
Admission routes3
Has abstractyes

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