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Record W203272768

The Anatomy of a City: A Forensic Investigation of the Geography of d2H and d18O Values of Tap Waters Within the Metro Vancouver Area

2014· dissertation· en· W203272768 on OpenAlexaboutno aff
Momoko Ueda

Bibliographic record

VenueSummit (Simon Fraser University) · 2014
Typedissertation
Languageen
FieldEngineering
TopicAutomated Road and Building Extraction
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyCartography
DOInot available

Abstract

fetched live from OpenAlex

The isotopic patterns of d18O and d2H in tap water were investigated across a single regional district of Metro Vancouver (MV). Isotopic analysis of human tissues can reveal the individual’s geographical history with the isotopic signatures reflecting those of water consumed during the time of tissue formation. MV tap water samples were collected and analyzed for its isotopic compositions through the use of Triple Liquid Water Isotope Analyzer (TLWIA). This study found that isotopic compositions of MV tap water were unique to its water source and varied across the regional district, depending on the water distribution system supplied by multiple water sources. This allows for MV tap water to be sourced solely by its isotopic signatures. This finding has significant forensic importance as it suggests the possibility of ultimately sourcing human values to specific areas within MV, which could aid in forensic investigations.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.777
Threshold uncertainty score0.777

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 studies0.0000.000
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 head0.006
GPT teacher head0.187
Teacher spread0.181 · 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 designObservational
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

Citations0
Published2014
Admission routes1
Has abstractyes

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