MétaCan
Menu
Back to cohort
Record W7096986295

Wishing the C~rnmission Board and staff a Happy New Year 2006!

2006· article· en· W7096986295 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicElectromagnetic Fields and Biological Effects
Canadian institutionsnot available
Fundersnot available
KeywordsMelatoninAdenylyl cyclaseReceptorSignal transductionDepression (economics)Melatonin receptor
DOInot available

Abstract

fetched live from OpenAlex

htt~:llwww. bcuc.comlAo~lic,ationView.as~x?Aa0licationld=93 Attached please find my Eviderlces # 22, 23 & 24 corrsisting of two papers on the depression of melatonin production in women exposed to elevated magnetic fields:- navies et al (2001) Residential magnetic Fields, Light-at-Night, and N o G ~ u) ; ~ ~ Urinary 6-Sulfatoxymelatunin Concenfratlon in Women (supportedlfunded by EPRI)- Levallois at al (200 1) Effects af Electric and Maguetic Fbids from High-power Lines on Females Urinary Excretion sf 6-Sulfatoxymelatonin (supported by Hydro Quebec 8 Electricite de France) and a paper which is the fifth laboratory to replicate the finding of reduced oncostatic action of melatonin on breast cancer cells at low magnetic field exposures, dawn to 12 rnilliGauss:- lshido st al (2001) Megnstic fields (MF) of 50 Hr at 112 milliCauss] as well as I1000 milliGaussf cause uncoupling of inhibitory pathways of adenylyl cyclaoe mediated by melafunin la receptor In MF-sensitive MCF-7 cells The lshido study may be also "the firsf sfudy lo provide evidence thaf MF may cause uncocrpling of signal transduction fmm melafanin receptors fa adenylyl cyclase". C1-36

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.279
Threshold uncertainty score0.398

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.001
Scholarly communication0.0090.003
Open science0.0020.005
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.7210.697

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 head0.004
GPT teacher head0.201
Teacher spread0.197 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2006
Admission routes1
Has abstractyes

Explore more

Same topicElectromagnetic Fields and Biological EffectsFrench-language works237,207