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Record W163376882

География высокосмолистых нефтей и особенности их физико-химических свойств

2011· article· ru· W163376882 on OpenAlex
Ященко Ирина Германовна, Полищук Юрий Михайлович

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueИзвестия Томского политехнического университета. Инжиниринг георесурсов · 2011
Typearticle
Languageru
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsOil reservesStock (firearms)GeographyGeologyPetroleumEnvironmental scienceArchaeologyPaleontology
DOInot available

Abstract

fetched live from OpenAlex

Geographical distribution regularities of world reserves of high resinous oils as an important source of hydrocarbon stock in future have been considered. It is shown that one third of oil-bearing basins in the world involves high resinous oils reserves. Two thirds of their world reserves are in Canada. About 90 % of all Russian reserves of high resinous oils are in three basins Timan-Pechorian, West-Siberian and Volga-Ural ones, the latter contains half of high resinous oils reserves of Russia. High resinous oils by its physico-chemical properties are at the average heavy, high-viscosity, sulfur, mean-paraffinic and mean-asphaltenic.

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.538
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.004
Science and technology studies0.0040.003
Scholarly communication0.0010.003
Open science0.0040.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0660.038

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 head0.090
GPT teacher head0.192
Teacher spread0.102 · 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