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Record W4390011019 · doi:10.18261/let.56.4.7

Conodonts from the <i>Grippia</i> niveau bonebed (Lower Triassic, Spathian), Spitsbergen, Arctic Norway

2023· article· en· W4390011019 on OpenAlexaff
Hans Arne Nakrem, Michael J. Orchard

Bibliographic record

VenueLethaia · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsGeological Survey of Canada
Fundersnot available
KeywordsGeologyEarly TriassicPaleontologyArcticThe arcticOceanographyStructural basinPermian

Abstract

fetched live from OpenAlex

Conodonts are for the first time described from the Grippia bonebed, lower part of the Vendomdalen Member, Vikinghøgda Formation, central Spitsbergen, Svalbard. They are extracted from the weakly consolidated mudstones and indicate an early Spathian age for this unit. In the absence of ammonoids the conodonts give a best possible age of the bonebed. They also represent the first conodonts extracted from Triassic siliciclastic material in Svalbard. The dominance of segminiplanate species and an absence of segminate species is as expected in the low-energy, distal depositional setting of the Grippia bonebed. The conodont elements are not adequately preserved, hence they are identified in open nomenclature. Element surfaces are generally eroded and covered with extensive apatite crystal overgrowth.

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 score0.026
Threshold uncertainty score0.052

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 communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.020
GPT teacher head0.218
Teacher spread0.198 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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