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Record W2371116096

Molecular and Isotopic Study of Bitumens from the Alberta Oil Sands

2010· article· en· W2371116096 on OpenAlexaffabout
Norka Marcano, Steve Larter, Bernhard Mayer, Alberta Ingenuity

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBiodegradationOil sandsAsphaltSulfurEnvironmental chemistryIsotopic signatureNitrogenChemistryGeologyEnvironmental scienceGeochemistryStable isotope ratioOrganic chemistryMaterials science
DOInot available

Abstract

fetched live from OpenAlex

Summary Molecular and isotopic analyses of oil samples from Athabasca, Peace River and Cold Lake oil sands reservoirs in Alberta, Canada, were conducted to evaluate the effect of biodegradation processes on the molecular and isotopic compositions of these oils. The results indicate that all studied samples are affected by biodegradation to different degrees. Based on the molecular composition, the levels of biodegradation range from at least PM5 to PM8 in Athabasca, PM5 to PM6 in Peace River and PM4 or lower at Cold Lake. Increasing levels of oil biodegradation from top to bottom of the oil columns was observed everywhere. Biodegradation does not cause observable systematic carbon, nitrogen or sulfur isotope changes vertically in whole bitumen columns; however, some 32 S-enriched oils found locally may reflect secondary sulphur incorporation related to local microbial activity. Major differences in the sulfur and nitrogen isotopic composition of oils across the province are suggested to be source rock related.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.680
Threshold uncertainty score0.637

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 studies0.0010.000
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 head0.005
GPT teacher head0.221
Teacher spread0.216 · 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

Citations1
Published2010
Admission routes2
Has abstractyes

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