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Record W2260842950 · doi:10.1134/s0031030115110040

Biogeography of the Permian marine Boreal basins based on bivalves

2015· article· en· W2260842950 on OpenAlexaboutno aff
А. С. Бяков

Bibliographic record

VenuePaleontological Journal · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and environmental studies
Canadian institutionsnot available
FundersKazan Federal University
KeywordsBiogeographyBorealGeologyPermianOceanographyPaleontologyStructural basinEcologyBiology

Abstract

fetched live from OpenAlex

The biogeography of Permian marine bivalves of the Boreal Superrealm is considered. Two biochores, the Western Boreal and Eastern Boreal realms, divided into a number of provinces are distinctly recognized. The Western Boreal Realm, which comprises the East European, West European, Greenland–Canadian, and Spitsbergen provinces, is distinguished by the widespread occurrence of pteriacians, myalinids, mitilids, Pseudomonotis, Cyrtorostra, and Netschajewia. The Eastern Boreal Realm comprises the Pechora, Novaya Zemlya, Taimyr, Verkhoyansk–Okhotsk, Kolyma–Omolon, Mongol–Transbaikalian, and Yukon provinces and is characterized by the widespread occurrence of Inoceramus-like bivalves of the family Kolymiidae and a high proportion of genera with bipolar distribution.

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 score0.220
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)0.0010.000

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 head0.028
GPT teacher head0.208
Teacher spread0.180 · 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

Citations6
Published2015
Admission routes1
Has abstractyes

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