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Record W4229661428 · doi:10.1017/s0033822200053583

Radiocarbon Laboratories

2008· article· en· W4229661428 on OpenAlexfundno aff

Bibliographic record

VenueRadiocarbon · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear Physics and Applications
Canadian institutionsnot available
FundersDivision of Ocean SciencesNational Council for Scientific ResearchNational Institute of Standards and TechnologyLomonosov Moscow State UniversityNational Synchrotron Radiation LaboratoryUniversity of WaterlooKing Saud UniversityInstitute for Health Metrics and EvaluationUniversity of TokyoUniversité de LyonCentre Scientifique de MonacoUniversität WienInstitut Français d’Archéologie OrientaleAustralian Nuclear Science and Technology OrganisationWashington State UniversityNihon UniversityUniversity of PittsburghOhio Wesleyan UniversityUniversity of WashingtonUniversidad de GranadaFlorida State UniversityPeking UniversityUniversity of WaikatoU.S. Department of AgricultureU.S. Geological SurveyKorea Atomic Energy Research InstituteUniversity of MiamiInternational Atomic Energy AgencyDesert Research InstituteUniversity of California, San DiegoYale University
KeywordsRadiocarbon datingAccelerator mass spectrometryListing (finance)ArchaeologyGeographyBusiness

Abstract

fetched live from OpenAlex

This is Radiocarbon 's annual list of active radiocarbon laboratories and personnel known to us. Conventional beta-counting facilities are listed in Part I, and accelerator mass spectrometry (AMS) facilities are listed in Part II. Laboratory code designations, used to identify published dates, are given to the left of the listing. (See p 501 for a complete list of past and present lab codes.)

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.799
Threshold uncertainty score0.532

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 head0.008
GPT teacher head0.205
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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2008
Admission routes1
Has abstractyes

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