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Agricultural Contamination of Groundwater as a Possible Risk Factor for Growth Restriction or Prematurity

2001· article· en· W1996535790 on OpenAlex
John A. Bukowski, George Somers, Janet Bryanton

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.

Bibliographic record

VenueJournal of Occupational and Environmental Medicine · 2001
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsGroundwaterNitrateAgricultureEnvironmental healthEnvironmental scienceContaminationWater resource managementEcologyMedicineBiology

Abstract

fetched live from OpenAlex

Agricultural activity on Prince Edward Island poses a potential hazard to groundwater, which is the sole source of drinking water on the island. This study investigates the potential impact of groundwater nitrate exposure on prematurity and intrauterine growth restriction on Prince Edward Island. A total of 210 intrauterine growth restriction cases, 336 premature births, and 4098 controls were abstracted from a database of all Island births. An ecological measure of groundwater nitrate level was used to gauge potential exposure to agriculturally contaminated drinking water. The higher nitrate exposure categories were positively associated with intrauterine growth restriction and prematurity, and significant dose-response trends were seen, even after adjustment for several important covariates. Nevertheless, these risks must be interpreted cautiously because of the ecological nature of this exposure metric. An investigation using nitrate levels for individual study subjects is needed to confirm this association.

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 score0.029
Threshold uncertainty score0.262

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 head0.031
GPT teacher head0.300
Teacher spread0.268 · 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