MétaCan
Menu
Back to cohort

An Xray Microspectroscopy Study of Hemochromatosis Liver and Diabetic Mice Kidney Tissues Preliminary Observations

2005· article· en· W2085793980 on OpenAlexafffund
T. K. Sham, P.S. G. Kim, H. Ngo, S. Chakrabati, Paul C. Adams

Bibliographic record

VenuePhysica Scripta · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSpectroscopy Techniques in Biomedical and Chemical Research
Canadian institutionsWestern University
FundersBasic Energy SciencesNatural Sciences and Engineering Research Council of Canada
KeywordsMicroprobeMaterials scienceMicrobeamBeamlineX-ray absorption fine structureUndulatorMicroscopySynchrotron radiationOpticsPathologyNuclear medicineMedicineNuclear magnetic resonanceChemistryBeam (structure)PhysicsSpectroscopyMineralogy

Abstract

fetched live from OpenAlex

We report preliminary observations of tissue images and micro-XAFS using x-ray microscopy techniques. Tissue specimens from hemocromatosis liver and knockout mice kidney were the subjects of the investigation. The x-ray microprobe experiments were conducted with a micro beam from an undulator beamline equipped with a set of K–B mirrors. Microbeam XAFS studies at selected pixels of interest from the metal images were conducted. These techniques, together with optical and IR imaging provide a powerful tool for tissue analysis using synchrotron radiation. Preliminary Fe and Cu K-edge XAFS results from these experiments are reported and discussed.

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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.309
Teacher spread0.294 · 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

Citations2
Published2005
Admission routes2
Has abstractyes

Explore more

Same venuePhysica ScriptaSame topicSpectroscopy Techniques in Biomedical and Chemical ResearchFrench-language works237,207