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Record W2326094920 · doi:10.18331/sfs2016.2.2.1

A short overview about cadmium and its toxicity focused on humans, bioindicators and model organisms

2016· article· en· W2326094920 on OpenAlexvenueno aff
Ștefan-Adrian Strungaru, G. Plavan, Mircea Nicoară

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy Metal Exposure and Toxicity
Canadian institutionsnot available
Fundersnot available
KeywordsCadmiumBioindicatorMercury (programming language)ArsenicEnvironmental chemistryMetalloidEnvironmental toxicologyToxicologyPollutantToxicityHuman healthHeavy metalsCADMIUM EXPOSUREEnvironmental scienceChemistryBiologyEcologyEnvironmental healthMedicineComputer science

Abstract

fetched live from OpenAlex

According to Paracelsus (1493-1541) everything from this planet is poison, only the dose makes the poison to be harmless. Even the essential elements for life support are toxic for all organisms in high amounts. Mercury, cadmium, metalloid arsenic and lead were responsible for poisoning and death of many humans and life forms from this planet for centuries. Cadmium forms different compounds that are used in industry for electroplating, pigments, plastic stabilizers, Ni-Cd rechargeable batteries, semiconductors, solar cells. According to literature, human's intake the highest amount of cadmium from cigarettes smoking and food. The level of cadmium in bird's bodies is important to analyze the environmental health. Birds are very sensitive to environmental changes and pollutants. This short overview investigated the pollution sources and pathways of cadmium within environment, its toxicity, symptoms and diseases focused on humans and other organisms. Some possible cure for humans' acute and chronic exposure to cadmium was searched in different studies.

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)0.004
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 score0.006
Threshold uncertainty score0.333

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.147
GPT teacher head0.285
Teacher spread0.138 · 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

Citations8
Published2016
Admission routes1
Has abstractyes

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