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Record W6989494392

The biogeochemical interaction and alteration of hydrocarbons in shallow sediments of the Scotian Slope, Nova Scotia

2024· article· en· W6989494392 on OpenAlexaboutno aff

Bibliographic record

VenueSaint Mary's University Institutional Repository (Saint Mary's University) · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaBiogeochemical cycleSedimentEcosystemClimate change
DOInot available

Abstract

fetched live from OpenAlex

This thesis presents findings from a study on headspace gas and methane clumped isotopic data obtained from various core samples along the Scotian Slope of Nova Scotia.The research aimed to quantify i) gas loss during sample storage, ii) evaluate the effectiveness of frozen sediment cores in identifying the sulfate methane transition zones, and iii) understand the origins and mechanisms of hydrocarbon gases at deep marine, cold seep sites.Results indicated an average of 75% gas loss for Isojars during the first nine months of storage, emphasizing the importance of proper preservation techniques.Optimal conditions for sample analysis were established, aiding in methane core profile construction for identifying shallow sediment, geochemical transition zones.Methane clumped isotopologue analysis revealed a deep biosphere approximately one kilometer below the seabed, sustained by microbial gas production, supporting seep sites near salt diapirs.This study highlights the significance of direct seep gas samples and provides insights into methane dynamics in marine environments and how deep biosphere methane gas production can impact ocean floor community ecology in diapir controlled cold seep localities.

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 score0.252
Threshold uncertainty score0.507

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.006
GPT teacher head0.189
Teacher spread0.183 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueSaint Mary's University Institutional Repository (Saint Mary's University)Same topicToxic Organic Pollutants ImpactFrench-language works237,207