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Record W7098857719

The Changing Bay of Fundy—Beyond 400 Years D. CONTAMINANTS THE OCCURRENCE, BEHAVIOUR AND FATE OF NATURAL AND SYNTHETIC ESTROGENIC COMPOUNDS IN HALIFAX HARBOUR

2014· article· en· W7098857719 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemistry
TopicChemical synthesis and alkaloids
Canadian institutionsnot available
Fundersnot available
KeywordsBaySewageNatural (archaeology)Aquatic environmentHarbourContaminationWater pollution
DOInot available

Abstract

fetched live from OpenAlex

In recent years, there has been a great deal of concern in the scientific community about a group of chemicals, found in treated and untreated sewage effluents, known as endocrine disrupting com-pounds (EDCs). A specific group of EDCs, known as estrogenic compounds, are capable of mimicking the natural endogenous hormone estradiol, and in turn causing specific changes in the sexual develop-ment of many aquatic organisms (Arcand-Hoy et al. 1998). A variety of compounds have been identi-fied as being estrogenic compounds, including the natural estrogen hormones, and many anthropogenic compounds, such as certain pharmaceuticals and synthetic industrial compounds. An important aspect of the research in the field of estrogenic compounds is to examine their behaviour and fate once they are released into the environment in sewage effluents. To date, the major-ity of research on this topic has occurred in freshwater environments (Lai et al. 2000; Holthaus et al. 2002; Jürgens et al. 2002), while research in the marine environment is limited (Ying and Kookana 2003). The goal of this study is to examine the behaviour and fate of several estrogenic compounds in the marine environment. To accomplish this, an analytical method has been developed to detect several phenolic estrogenic compounds in marine samples. This method was applied to samples collected from Halifax Harbour. These samples were also used to conduct experiments in the laboratory to examine the

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 score0.386
Threshold uncertainty score0.299

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 head0.007
GPT teacher head0.219
Teacher spread0.212 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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Same topicChemical synthesis and alkaloidsFrench-language works237,207