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THE USE OF AUTORADIOGRAPHY FOR INVESTIGATING THE DISTRIBUTION OF RADIOACTIVITY IN LUNG COUNTER CALIBRATION SOURCES

2004· article· en· W2024945670 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

VenueHealth Physics · 2004
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadioactive Decay and Measurement Techniques
Canadian institutionsHealth Canada
Fundersnot available
KeywordsHomogeneousPlanarImaging phantomDistribution (mathematics)LungCalibrationBiological systemMaterials sciencePhysicsChemistryNuclear medicineMathematicsOpticsComputer scienceMedicineBiologyMathematical analysisStatisticsStatistical physics

Abstract

fetched live from OpenAlex

This paper shows that autoradiography is a useful technique for investigating radioactivity distributions in lung phantoms and planar sources. It was applied to a sliced lung phantom that had activity homogeneously distributed throughout the tissue substitute material and to laminated planar sources in an attempt to answer three questions: 1) Was the activity distribution the same in each slice of the sliced homogeneous lung set? 2) Was the activity distribution the same for each of the laminated planar sources? and 3) Were the activity distributions the same between slices and planar sources? The activity distribution, including identification of some locations of elevated activity in the sliced homogeneous lungs, was easily obtained using autoradiography. This study demonstrates that neither the sliced homogeneous lung sets nor the laminated planar sources had a homogeneous distribution of radioactivity, as had been previously thought.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.439
Threshold uncertainty score0.220

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 head0.060
GPT teacher head0.309
Teacher spread0.250 · 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