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Record W2130988389 · doi:10.1177/0960327110368417

Elimination of persistent toxicants from the human body

2010· review· en· W2130988389 on OpenAlexaff
Stephen J. Genuis

Bibliographic record

VenueHuman & Experimental Toxicology · 2010
Typereview
Languageen
FieldEnvironmental Science
TopicEffects and risks of endocrine disrupting chemicals
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDetoxification (alternative medicine)ToxicantOrganismMedicineXenobioticHuman healthEndocrine systemEnvironmental healthToxicologyBiologyToxicityPathologyHormoneEndocrinologyInternal medicine

Abstract

fetched live from OpenAlex

There is compelling evidence that various chemical agents are important determinants of myriad health afflictions--several xenobiotics have the potential to disrupt reproductive, developmental, and neurological processes and some agents in common use have carcinogenic, epigenetic, endocrine-disrupting, and immune-altering action. Some toxicants appear to have biological effect at miniscule levels and certain chemical compounds are persistent and bioaccumulative within the human body. Despite escalating public health measures to preclude further exposures, many people throughout the world have already accrued a significant body burden of toxicants, placing them at potential health risk. As a result, increasing discussion is underway about possible interventions to facilitate elimination of persistent toxicants from the human organism in order to obviate health affliction and to potentially ameliorate chronic degenerative illness. An overview of the clinical aspects of detoxification is presented with discussion of established and emerging interventions for the elimination of persistent xenobiotics. Potential therapies to circumvent enterohepatic recirculation and a case report highlighting a clinical outcome associated with detoxification are also presented for consideration.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.968
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.045
GPT teacher head0.422
Teacher spread0.377 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations52
Published2010
Admission routes1
Has abstractyes

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