MétaCan
Menu
Back to cohort
Record W2032976411 · doi:10.1080/10406630008034773

Seasonal and Geographical Distribution of PAHs in Mussels,<i>Mytilus Edulis</i>, Collected from an Urban Harbour

2000· article· en· W2032976411 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePolycyclic aromatic compounds · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsBedford Institute of OceanographyFisheries and Oceans Canada
Fundersnot available
KeywordsMytilusPyreneFluorantheneMusselPhenanthreneEnvironmental chemistryChemistryContaminationHarbourEcologyBiology

Abstract

fetched live from OpenAlex

Abstract Mytilus edulis were collected intertidally from 16–18 sites located around the perimeter of Halifax Harbour, of an island located at the entrance to the harbour and from the Northwest Arm. The concentrations of 31 polycyclic aromatic hydrocarbons (PAHs), lipid and moisture content were determined in pools of this filter feeder sampled over three seasons spanning two years, along with calculating individual condition indices. Contaminants were nearly undetectable in many of the summer mussels and highest in some of the spring samples. At several sites, the sum of PAHs expressed on a dry or lipid weight basis, was either equal or higher in April compared to November. Fluoranthene was the most predominant PAH followed by pyrene and phenanthrene. At most sites, parental PAHs, associated with combustion sources of contamination, were more abundant than alkylated derivatives. A larger petroleum input was noticeable in mussel extracts from sites in close proximity to potential sources.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.218
Teacher spread0.212 · 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