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Record W1972474766 · doi:10.1615/jpormedia.v16.i8.10

ASSESSMENT OF X-RAY MICRO-CT MEASUREMENTS OF POROSITY AND SOLUTE CONCENTRATION DISTRIBUTIONS DURING DIFFUSION IN POROUS GEOLOGIC MEDIA

2013· article· en· W1972474766 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Porous Media · 2013
Typearticle
Languageen
FieldEngineering
TopicAdvanced X-ray and CT Imaging
Canadian institutionsUniversity of OttawaUniversity of New Brunswick
Fundersnot available
KeywordsPorosityDolostoneTRACERDiffusionPorous mediumMaterials scienceResolution (logic)Image resolutionAttenuation coefficientMineralogyGeologyAnalytical Chemistry (journal)OpticsChemistryPhysicsComposite materialComputer scienceChromatographyCarbonateThermodynamics

Abstract

fetched live from OpenAlex

Using x-ray micro-computed tomography (micro-CT) for quantitative measurements in porous media is inherently challenged by uncertainties, which need to be identified and quantified to enable meaningful interpretation of measurements. For this purpose, we present results of experiments using micro-CT to measure the three-dimensional distribution of diffusion-accessible porosity and time-variant iodide tracer concentration within dolostone and sandstone samples. The precision, detection limits and spatial resolution of measurements were determined. Using a 0.6 M iodide tracer, the precision of attenuation coefficient measurement was approximately ±4%, in both the dolostone and sandstone samples. The precision for diffusion-accessible porosity and solute concentration measurements were ±7% and ±0.04 M, with detection limits of 20% and 0.12 M, respectively. The spatial resolution of measurement was 40 μm, representing the minimum size of features that can be distinctively resolved in a reconstructed image with 18.23 μm voxel size.

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)0.000
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 score0.657
Threshold uncertainty score0.497

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 head0.013
GPT teacher head0.235
Teacher spread0.222 · 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