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Record W2048724548 · doi:10.1021/cm901205q

Selective Water Uptake in Calcium Oxalate Monohydrate Kidney Stones

2009· article· en· W2048724548 on OpenAlexafffund
Usama Al-Atar, Andrew R. Lewis, Joel M.H. Teichman, Ben H. Chew, Byron D. Gates, Neil R. Branda

Bibliographic record

VenueChemistry of Materials · 2009
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsUniversity of British ColumbiaSimon Fraser University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsScanning electron microscopeDehydrationCalcium oxalateMaterials scienceKidney stonesEnergy-dispersive X-ray spectroscopyOxalateHumidityMineralogyCalciumChemistryAnalytical Chemistry (journal)Composite materialInorganic chemistryChromatographyMetallurgy

Abstract

fetched live from OpenAlex

Here we report the amount and location of fluid water absorbed by calcium oxalate monohydrate (COM) kidney stones evaluated using controlled humidity and magnetic resonance imaging (MRI). COM stones subjected to rehydration in a controlled humidity chamber for 16 h at 37 °C absorb approximately 3 wt % water, most of which resides only in thin outer shells of the stones and not within their cores. Although scanning electron microscopy (SEM) shows that there are differences in texture between the inner surface of the water-absorbing shell and the outer surface of the nonabsorbing core, energy-dispersive X-ray (EDX) spectroscopy does not reveal any differences in elemental composition between the two surfaces, and X-ray diffraction (XRD) of powered samples shows them to be similar in crystalline nature. The fact that COM stones do not absorb a significant amount of fluid water beyond their thin outer coatings, which have a different (albeit unidentified) interfacial material separating them from the bulk of the stones, may be the reason for the differences in sensitivity to common medical treatment options such as shock wave lithotripsy.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.015
GPT teacher head0.276
Teacher spread0.260 · 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

Citations1
Published2009
Admission routes2
Has abstractyes

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