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Record W3008335467 · doi:10.1134/s1819714019060058

A New Ammonoid Zone of the Upper Carnian Substage in Northeastern Russia

2019· article· en· W3008335467 on OpenAlexaboutno aff
А. Г. Константинов

Bibliographic record

VenueRussian Journal of Pacific Geology · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyPaleontologyBiostratigraphyBorealStructural basinSeries (stratigraphy)

Abstract

fetched live from OpenAlex

A review of the biostratigraphic division of the Upper Carnian substage of the Boreal paleobiogeographic Realm by ammonoids is presented. The history of identifying the yakutensis ammonoid zone of the Upper Carnian in Northeastern Russia and the evolution of the views on its volume and paleontological characteristics are considered. The systematic composition and stratigraphic distribution of ammonoids within the yakutensis zone in the sections of Northern Priokhot’e (Sea of Okhotsk region), the Adycha River basin and the right bank of the lower reaches of the Lena River are revised. It is established that the species “Sirenites” (=Orientosirenites) yakutensis Kiparisova is confined to the lower part of the yakutensis zone (in its previous volume), whereas Orientosirenites bytschkovi Konstantinov is bound to its upper part. In this regard, the position of the upper boundary of the yakutensis zone is changed, and it is proposed that a new bytschkovi zone overlapping the yakutensis zone (in the new volume) should be identified. The yakutensis and bytschkovi zones are widespread and are traced in the stratigraphic sequence in a series of the sections on the territory of Northeastern Russia. In the presence of the common genus Orientosirenites, they are correlated with the Jovites borealis beds of Arctic Canada and their equivalents: the upper subzone of the Tropites welleri zone in British Columbia and the upper part of the Tropites subbullatus zone in the Alps.

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 score0.014
Threshold uncertainty score0.998

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)0.0030.000

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 head0.008
GPT teacher head0.183
Teacher spread0.174 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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