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Record W2325607861 · doi:10.1021/es103359f

Blinded Taste Panel Evaluations To Determine if Fish from near the Oil Sands Are Preferred Less than Fish from Other Locations in Alberta, Canada

2011· article· en· W2325607861 on OpenAlexafffundabout
Brenda Barona, Rozlyn F. Young, Phillip M. Fedorak, Wendy V. Wismer

Bibliographic record

VenueEnvironmental Science & Technology · 2011
Typearticle
Languageen
FieldNursing
TopicBiochemical Analysis and Sensing Techniques
Canadian institutionsUniversity of Alberta
FundersSyncrudeCanadian Natural Resources Limited
KeywordsCoregonus clupeaformisEsoxPikeOil sandsTasteFisheryFish <Actinopterygii>Environmental scienceCoregonusAsphaltGeographyBiologyArchaeologyFood science

Abstract

fetched live from OpenAlex

The oil sands industry is rapidly expanding surface mining and bitumen extraction operations near the Athabasca River in northeastern Alberta, Canada. There are anecdotal comments that the fish from the Athabasca River have an off-taste, implying that the oil sands operations are the cause. This study was done to determine if the taste of wild fishes caught near the Athabasca oil sands was less preferred than the taste of fishes collected from two other river basins in Alberta. In blinded experiments, consumer sensory panels, of 40 to 44 participants, tasted steamed samples of each of three fish species (walleye (Sander vitreus), northern pike (Esox lucius), and lake whitefish (Coregonus clupeaformis)) from three different sources in Alberta (the Athabasca River, Buck Lake, and McGregor Lake). Data analyses showed that there was no evidence from the consumer preference rankings that the taste of the fish from the Athabasca River was preferred less than the taste of fish from two other water bodies in Alberta.

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 categoriesnone
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 score0.290
Threshold uncertainty score0.540

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.041
GPT teacher head0.249
Teacher spread0.208 · 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 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

Citations5
Published2011
Admission routes3
Has abstractyes

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