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Record W2477157282

Mercury dental amalgams: The controversy continues

2002· article· en· W2477157282 on OpenAlexvenueno aff
Gary Null, Martin Feldman

Bibliographic record

VenueJournal of orthomolecular medicine · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsnot available
Fundersnot available
KeywordsMercury (programming language)MERCURY EXPOSURESurpriseDentistryMedicinePsychologyChemistrySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

I: The Danger in Our Mouths The use of mercury in dental amalgam fillings has been an accepted practice in the United States for more than a hundred years. So it should come as no surprise that most people assume the silvery-looking fillings in their mouths are safe and nontoxic, posing no risk to their health. But is this assumption well founded? An analysis of the scientific evidence on mercury can only lead to a resounding “no.” Mercury is a toxic heavy metal that can have disastrous health effects. Research shows that mercury is associated with disorders such as multiple sclerosis, Alzheimer’s disease, depression and reduced immune functioning. Mercury exposure also presents a risk to fetuses in mothers who have amalgam fillings. California recognized this risk in November 2000 when it became the first state to require dentists to inform their patients that amalgam fillings may cause birth defects. It is of interest that the studies proving mercury’s toxicity often come from the journals of conventional dentistry and medicine. Even so, orthodox dentistry continues to assure us that the mercury in our mouths is safe. This disconnect between our long-standing assumption that mercury amalgams are nontoxic and the evidence showing otherwise reminds us of an important principle: What has been accepted as true is not always so scientifically.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0050.000

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 head0.015
GPT teacher head0.246
Teacher spread0.232 · 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
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

Citations2
Published2002
Admission routes1
Has abstractyes

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