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Record W2739351621 · doi:10.11575/prism/27365

Plant Cell Responses to Naphthenic Acids and Acid Extractable Organics Derived from Oil Sands Tailings Pond Water

2017· dissertation· en· W2739351621 on OpenAlexaboutno aff
Mitchell E. Alberts

Bibliographic record

VenuePRISM (University of Calgary) · 2017
Typedissertation
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsTailingsNaphthenic acidOil sandsEnvironmental scienceEnvironmental chemistryChemistryWaste managementGeologyMining engineeringEngineeringGeographyArchaeologyOrganic chemistryAsphalt

Abstract

fetched live from OpenAlex

Mining of bitumen from the oil sands located in Alberta, Canada results in the production of oil sands process-affected water (OSPW). Naphthenic acids (NAs) are a constituent of the acid extractable organic (AEO) fraction isolated from OSPW. Detrimental phenotypic responses are apparent in plants exposed to NAs and AEO fraction. The aim of this thesis is to characterize the responses of plant cell structures after treatment with NAs and AEO fraction. Disruption to microtubules, actin filaments, mitochondria, peroxisomes, Golgi bodies, ER, and cell membranes was observed in onion epidermal cells and Arabidopsis thaliana root epidermal cells. Increasing reactive oxygen levels induced by NA and AEO exposure, and decreased cell viability after AEO exposure was also observed. This research represents the initial characterization of organelle and cytoskeletal responses after NA and AEO exposure in eukaryotic cells, and highlights the potential of cytoskeleton and organelle markers as a biosensor for OSPW toxicity.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.007
GPT teacher head0.197
Teacher spread0.190 · 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 designBench or experimental
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
Published2017
Admission routes1
Has abstractyes

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