MétaCan
Menu
Back to cohort
Record W2523508423 · doi:10.1017/rdc.2016.55

First Status Report on Radiocarbon Sample Preparation Techniques at the A.E. Lalonde AMS Laboratory (Ottawa, Canada)

2016· article· en· W2523508423 on OpenAlexafffundabout
Carley Crann, Sarah Murseli, Gilles St‐Jean, Xiaolei Zhao, Ian D. Clark, W.E. Kieser

Bibliographic record

VenueRadiocarbon · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsUniversity of Ottawa
FundersUniversity of Alberta
KeywordsRadiocarbon datingAccelerator mass spectrometrySample (material)Sample preparationEnvironmental scienceArchaeologyChemistryGeographyChromatography

Abstract

fetched live from OpenAlex

Abstract The A.E. Lalonde accelerator mass spectrometer (3MV, HVEE) was commissioned in early 2014 at the University of Ottawa (Canada). The radiocarbon sample preparation laboratory spent the better part of 2014 undertaking a quality control program, establishing pretreatment protocols, and streamlining sample processing. In the fall of 2014, the first unknown samples were accepted and in the first year of operation well over 1000 targets (~60% unknowns) were analyzed. Here, we present an overview of sample processing protocols and results from routinely measured standards, reference, and blank materials.

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)0.010
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.495
Threshold uncertainty score0.997

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.004
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0040.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0240.019

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 head0.006
GPT teacher head0.190
Teacher spread0.185 · 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.

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

Citations124
Published2016
Admission routes3
Has abstractyes

Explore more

Same venueRadiocarbonSame topicArchaeology and ancient environmental studiesFrench-language works237,207