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Record W2077830591 · doi:10.1177/01939450022044881

Systemic Oxygen-Free Radical Production in Iron-Loaded Mice

2000· article· en· W2077830591 on OpenAlexaff
Wally J. Bartfay, Emma Bartfay

Bibliographic record

VenueWestern Journal of Nursing Research · 2000
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsQueen's University
Fundersnot available
KeywordsHemochromatosisSpleenMedicineToxicityPathogenesisMetabolismPhysiologyImmunologyEndocrinologyInternal medicine

Abstract

fetched live from OpenAlex

Although iron is an essential element for normal cell metabolism, in excess quantities it is highly cytotoxic and lethal. In fact, acute iron poisoning is a leading cause of overdose mortality in young children. Hereditary hemochromatosis, a disorder of iron metabolism, is currently the most prevalent genetic disorder in the world, which results in organ failure and premature mortality. Hence, an enhanced understanding of its pathogenesis is critical for providing safe and effective nursing care to affected individuals and their families. Although the exact mechanism of iron's toxicity is not known, it was hypothesized that chronic iron loading would result in increased tissue (heart, liver, and spleen) concentrations of iron and increased free radical production in a murine model (n = 20). Our results show that chronic iron loading results in highly significant dose-dependent increases in tissue concentrations of iron and systemic free radical generation (p < 0.001).

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)0.002
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 score0.727
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.063
GPT teacher head0.389
Teacher spread0.326 · 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

Citations12
Published2000
Admission routes1
Has abstractyes

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