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Record W2079271223 · doi:10.1144/gsl.sp.2006.255.01.15

Lithofacies and dynamics of a cool-water carbonate seaway: mid-Tertiary, Te Kuiti Group, New Zealand

2006· article· en· W2079271223 on OpenAlexaff
Alexis S. Anastas, Robert W. Dalrymple, Noël P. James, Campbell S. Nelson

Bibliographic record

VenueGeological Society London Special Publications · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsQueen's UniversityDevon Energy (Canada)
Fundersnot available
KeywordsCarbonateGroup (periodic table)GeologyOceanographyGeochemistryChemistry

Abstract

fetched live from OpenAlex

Abstract The Waimai, Orahiri and Otorohanga limestones of the upper Eocene to lowermost Miocene Te Kuiti Group, North Island, New Zealand, provide examples of cool-water carbonate sedimentation within seaways. The limestones are dominated by grainstones and packstones, and contain abundant bryozoans, benthic foraminifers and echinoderm fragments, with only small amounts of siliciclastic material. Horizontally bedded and cross-bedded lithofacies represent sedimentation in wave-dominated and current-dominated settings, respectively; biostrome lithofacies are less abundant and tend to be associated with the current-generated deposits. The migration of dune fields and the associated biostromes generate laterally restricted cyclic alternations of lithofacies. Stratigraphic partitioning of cross-bedded and wave-dominated lithofacies demonstrate that the Te Kuiti seaway alternated between current-dominated, wave-dominated and mixed-energy conditions. Eustatically and/or tectonically produced changes in water depth had the most important influence, with current-dominated conditions prevailing when water depth was optimal to allow flow acceleration through the seaway. Wave-dominated or mixed-energy conditions prevailed when water depth was less or more than this optimum depth. Mixed-energy conditions were most prevalent in widest seaways. The controls on seaway sedimentation inferred have application to other carbonate and siliciclastic seaway successions.

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)0.000
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 score0.102
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0050.000

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 head0.010
GPT teacher head0.199
Teacher spread0.188 · 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

Citations43
Published2006
Admission routes1
Has abstractyes

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