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Record W4394830508 · doi:10.31857/s2686739723600200

COMPARISON OF THE I AND IV DIAMOND TYPES (ACCORDING TO THE CLASSIFICATION OF Y.L. ORLOV) FROM THE SNAP LAKE KIMBERLITES (SLAVE CRATON, CANADA)

2023· article· en· W4394830508 on OpenAlexaboutno aff
O. A. Ivanova, N. P. Pokhilenko, V. P. Afanasiev, D. A. Zedgenizov, E. O. Barabash

Bibliographic record

VenueДоклады РОССИЙСКОЙ АКАДЕМИИ НАУК Науки о Земле · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsKimberliteDiamondCratonGeologyMantle (geology)GeochemistryImpurityMineralogyChemistryMaterials sciencePaleontologyMetallurgyTectonics

Abstract

fetched live from OpenAlex

The article is devoted to the study of diamonds of the I and IV varieties (according to the classification of Y.L. Orlov) from Snap Lake kimberlites. Based on the study of the morphology, the impurity defects of nitrogen and the internal structure of these diamonds, it was found that the uncoated crystals and the cores of coated diamonds were formed under similar conditions. It is assumed that the coats were formed on a significant part of the formed diamonds under mantle conditions, and their etching occurred at the hypogenic stage of the development of the kimberlite body.

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 score0.921
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
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 head0.026
GPT teacher head0.227
Teacher spread0.201 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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