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Record W4255385666 · doi:10.26434/chemrxiv.14055398.v1

Spatial and Temporal Distributions of Polycyclic Aromatic Hydrocarbons in Sediments from the Canadian Arctic Archipelago

2021· preprint· en· W4255385666 on OpenAlexafffundabout
Anne Corminboeuf, Jean‐Carlos Montero‐Serrano, Richard St‐Louis

Bibliographic record

VenueChemRxiv · 2021
Typepreprint
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversité du Québec à Rimouski
FundersNatural Sciences and Engineering Research Council of CanadaArcticNetUniversité du Québec à Rimouski
KeywordsArchipelagoSedimentEnvironmental chemistryArcticDry weightExtraction (chemistry)Accelerated solvent extractionEnvironmental scienceThe arcticChemistryGeologyOceanographyChromatographyGeomorphology

Abstract

fetched live from OpenAlex

The concentrations of 23 polycyclic aromatic hydrocarbons (PAHs; 16 parent and 7 alkylated PAHs) in 113 surface marine sediment samples, 13 on-land sediment samples and 8 subsampled push cores retrieved from the Canadian Arctic Archipelago (CAA) were calculated. PAHs were extracted via accelerated solvent extraction (ASE) and quantified via gas chromatography-mass spectrometry (GC-MS). The sums of the concentrations 16 PAHs in the surface sediments ranged from 7.8 to 247.7 ng g -1 (dry weight [dw]) basis). The PAH inputs to the sediments have remained constant during the last century and agree with the results obtained for the surface sediments. Diagnostic ratios indicated that the PAHs in the CAA mainly originate from natural petrogenic sources, with some pyrogenic sources. Temporal trends did not indicate major source shifts and largely indicated petrogenic inputs. Overall, the sediments retrieved from the CAA have low PAH concentrations that are mainly natural.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.093
Threshold uncertainty score0.546

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.286
Teacher spread0.260 · 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.

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

Citations3
Published2021
Admission routes3
Has abstractyes

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