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Record W4205354049 · doi:10.1017/s0033822200038923

List of Laboratories

2006· article· en· W4205354049 on OpenAlexfundno aff

Bibliographic record

VenueRadiocarbon · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear Physics and Applications
Canadian institutionsnot available
FundersDivision of Ocean SciencesNational Council for Scientific ResearchU.S. Geological SurveyNational Institute of Standards and TechnologyNational Synchrotron Radiation LaboratoryLomonosov Moscow State UniversityUniversity of WaterlooYale UniversityUniversity of GlasgowInstitute for Health Metrics and EvaluationPeking UniversityWashington State UniversityDalhousie UniversityUniversity of WaikatoUniversität WienInstitut Français d’Archéologie OrientaleAustralian Nuclear Science and Technology OrganisationNihon UniversityUniversity of PittsburghOhio Wesleyan UniversityUniversity of WashingtonUniversidad de GranadaFlorida State UniversityInternational Atomic Energy AgencyDesert Research InstituteU.S. Department of AgricultureUniversity of MiamiPurdue University
KeywordsRadiocarbon datingListing (finance)Accelerator mass spectrometryArchaeologyHistoryBusiness

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 515 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 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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: Dataset · Consensus signal: none
Teacher disagreement score0.497
Threshold uncertainty score0.717

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.007
Science and technology studies0.0030.000
Scholarly communication0.0060.003
Open science0.0030.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.4970.406

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 head0.002
GPT teacher head0.185
Teacher spread0.184 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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

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