MétaCan
Menu
Back to cohort
Record W3159244764 · doi:10.21105/joss.02878

Isoreader: An R package to read stable isotope data files for reproducible research

2021· article· en· W3159244764 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Journal of Open Source Software · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicIsotope Analysis in Ecology
Canadian institutionsnot available
FundersUniversity of Colorado BoulderUniversity of OttawaU.S. Geological SurveyUniversity of WyomingUniversity of WashingtonNational Science Foundation
KeywordsComputer scienceIsotopeR packageDatabaseProgramming languageNuclear physicsPhysics

Abstract

fetched live from OpenAlex

The measurement and interpretation of the stable isotope composition of any material or molecule has widespread application in disciplines ranging from the earth sciences to ecology, anthropology, and forensics. The naturally occurring differences in the abundance of the stable isotopes of carbon, nitrogen, oxygen, and many other elements provide valuable insight into environmental conditions and sources, fluxes, and mechanisms of material transfer. Because isotopic variations in nature are very small, the measurement itself requires cutting edge analytical instrumentation using isotope ratio mass spectrometry (IRMS) as well as rigorous data reduction procedures for calibration and quality control. The isoreader package implements an easily extendable interface for IRMS data from common instrument vendor file formats and thus enables the reading and processing of stable isotope data directly from the source. This provides a foundational tool for platform-independent, efficient and reproducible data reduction.

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.

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)0.014
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0050.005
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.154
GPT teacher head0.405
Teacher spread0.251 · 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