MétaCan
Menu
Back to cohort
Record W4401904403 · doi:10.62592/mndh2138

Public Health Risk Assessment and Risk Management for Safe Drinking Water

2024· book· en· W4401904403 on OpenAlex
Steve E. Hrudey

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.

fundA Canadian funder is recorded on the work.
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

VenueThe Groundwater Project eBooks · 2024
Typebook
Languageen
FieldEnvironmental Science
TopicGroundwater flow and contamination studies
Canadian institutionsnot available
FundersUniversity of AlbertaUniversity of WaterlooUniversity of TorontoColorado School of Mines
KeywordsGroundwaterPublic healthEnvironmental planningWater supplyWater safetyRisk assessmentEnvironmental healthBusinessWater resource managementEnvironmental scienceEnvironmental engineeringEngineeringWater qualityMedicineComputer scienceComputer securityNursing

Abstract

fetched live from OpenAlex

Groundwater provides drinking water to more than 10 million Canadians, including more than 80% of rural populations. Ensuring that groundwater is safe for human consumption is a shared responsibility of any scientist or professional engaged in a domestic or municipal groundwater supply. All such individuals should understand the basis for judging the safety of drinking water, particularly, the practical limitations of the techniques for making those judgements. This is true for public health risk assessment of drinking water, just as groundwater hydrogeologists need to understand the uncertainties and limitations of the methods they must rely on for understanding and interpreting groundwater resources. This book seeks to provide an insight into the processes used for judging the health risks associated with contamination of drinking water so that groundwater specialists can engage with public health officials in meaningful discussion and decision-making about the best means for effectively managing health risks associated with drinking water.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.002
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 head0.042
GPT teacher head0.276
Teacher spread0.234 · 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