MétaCan
Menu
Back to cohort
Record W2088759287 · doi:10.1159/000198048

Seabirds – a Possible Environmental Factor in Gastric Cancer in Newfoundland

2009· article· en· W2088759287 on OpenAlex
C.J. Pfeiffer, William Threlfall

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

VenueDigestion · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and phenotypic traits in livestock
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsSeabirdGeographyTemperate climateIncidence (geometry)Fish <Actinopterygii>CancerFisheryBiologyEcologyGenetics

Abstract

fetched live from OpenAlex

Because of the high incidence of gastric cancer in fishermen, in seabird catchers, and in regions generally associated with a temperate or cool marine environment, the association of seabirds with gastric cancer risk was investigated regionally in Newfoundland. Cartographic plotting and correlation analyses of 23 individual or combined regions of Newfoundland with respect to M, F or M + F mortality rates showed a close similarity between high risk areas and large seabird aggregations which were in the southeast region of the island. Coastal fish processing plants were also prevalent focal points in this region between fishermen and seabird populations, suggesting that a chemical or viral carcinogen should be sought within this triad of fishermen, seabirds, and fish plants.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score0.326

Codex and Gemma teacher scores by category

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

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 head0.008
GPT teacher head0.240
Teacher spread0.232 · 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