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Record W6964398977 · doi:10.26071/c5d69a5a-2e91

Microplastics in American lobster (Homarus americanus) and Mussel Species in Coastal Southwestern New Brunswick, Canada

2023· dataset· en· W6964398977 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOGSL repository · 2023
Typedataset
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMicroplasticsMusselBaySampling (signal processing)Shellfish

Abstract

fetched live from OpenAlex

This dataset consists of data collected by the Passamaquoddy Recognition Group Inc. (PRGI), which is an Indigenous not-for-profit organization led by the Peskotomuhkati Nation at Skutik. This project is funded by the Department of Fisheries and Oceans (DFO), Coastal Environmental Baseline Program (CEBP). Data will include samples collected from 2020-2027 and represents field sampling data as well as laboratory and Fourier Transform Infrared Spectroscopy (FTIR) data associated with the sampling of American lobster (Homarus americanus) and Northern Horse mussel (Modiolus modiolus) for the purpose of studying the presence and abundance of microplastics and micro-debris in this species. Sampling: Samples were collected from the Port of Saint John region, Passamaquoddy Bay and around Grand Manan Island in New Brunswick. Samples were collected using standard lobster traps with PRGI technical staff present for all sampling activity. Retained lobsters were transported back to laboratory spaces in coolers and immediately euthanized via freezing. Laboratory Analysis: Once lobsters are euthanized and dissected, digestion of organic tissue, and filtration begin. Digestive tracts and muscle tissues are dissected from the lobster, and whole mussels are placed in a 10% KOH solution. Samples are then transferred into a warming oven at 50 degrees Celsius for at least 24 hours. This process allows for the digestion of most organic material. Large undigested remains are passed through a sieve and analyzed visually by technicians under a dissection microscope. Any potential microplastics identified at this stage are isolated on a filter paper and stored on a petri slide. The remaining tissue is filtered using a 0.8 µm pore size filter and a vacuum pump. As with larger debris, these filters are also analyzed visually under a dissection microscope. Any potential microplastics are marked and numbered for FTIR identification. Dissection, digestion, and visual analysis are conducted in a lab space, making use of biosafety cabinets, and fume hoods to aid in the reduction of microplastic contamination of samples, whenever possible. All implements used are triple rinsed with filtered (0.8 µm or Milli-Q) water, and samples are covered when not being handled to reduce potential contamination. Environmental blanks, H20 blanks, and KOH blanks are taken throughout the process for quality control. As of 2022, PRGI conducts laboratory analysis in a dedicated in-house clean lab, minimizing exposure to contaminants by following cleaning procedures and low plastics laboratory dress code. Once visual analysis is completed, petri slides with marked and numbered potential plastics are sent to Western Surface Science laboratory at the University of Western Ontario for FTIR analysis. This analysis indicates the chemical composition of identified particles and indicates if such particles are made of plastic or of other materials.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.488
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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.211
Teacher spread0.200 · 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