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Record W3106637543 · doi:10.1016/j.envres.2020.110505

Radiofrequency electromagnetic fields from mobile communication: Description of modeled dose in brain regions and the body in European children and adolescents

2020· article· en· W3106637543 on OpenAlexfundno aff
Laura Ellen Birks, Luuk van Wel, Ilaria Liorni, Livia Pierotti, Mònica Guxens, Anke Huss, Milena Foerster, Myles Capstick, Marloes Eeftens, Hanan El Marroun, Marisa Estarlich, Mara Gallastegi, Llúcia González, Wout Joseph, Loreto Santa‐Marina, Arno Thielens, Maties Torrent, Tanja G. M. Vrijkotte, Joe Wiart, Martin Röösli, Elisabeth Cardis, Roel Vermeulen, Martine Vrijheid

Bibliographic record

VenueEnvironmental Research · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicElectromagnetic Fields and Biological Effects
Canadian institutionsnot available
FundersEuropean Regional Development FundInstituto de Salud Carlos IIIAgència de Gestió d'Ajuts Universitaris i de RecercaHorizon 2020 Framework ProgrammeForschungsstiftung Strom und MobilkommunikationUniversity of the EastHersenstichtingAgence Française de Sécurité Sanitaire de l'Environnement et du TravailDepartment of Health and Aged Care, Australian GovernmentFundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat ValencianaGeneralitat ValencianaMinisterio de Economía y CompetitividadMinisterie van Volksgezondheid, Welzijn en SportFederación Española de Enfermedades RarasGeneralitat de CatalunyaNational Alliance for Research on Schizophrenia and DepressionZonMwBrain and Behavior Research FoundationFundació la Marató de TV3National Science FoundationEuropean External Action ServiceErasmus Medisch CentrumStichting Volksbond RotterdamDeutsche ForschungsgemeinschaftCentres de Recerca de CatalunyaInstitute of AgingEusko JaurlaritzaBrain FoundationCentro de Investigación Biomédica en Red de Epidemiología y Salud PúblicaErasmus Universiteit RotterdamSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungCentro de Investigación Biomédica en Red sobre Enfermedades NeurodegenerativasHealth ResearchMinisterio de Ciencia e InnovaciónEuropean CommissionNederlandse Organisatie voor Wetenschappelijk Onderzoek
KeywordsMobile phoneMedicineFrontal lobeTemporal lobeAudiologyTelecommunicationsComputer sciencePsychiatry

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.945
Threshold uncertainty score0.213

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.014
GPT teacher head0.252
Teacher spread0.238 · 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

Citations27
Published2020
Admission routes1
Has abstractno

Explore more

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