A COMPARISON BETWEEN THERMAL AND X RADIOGRAPHY FOR STUDYING THE INTERNAL STRUCTURE OF BIOLOGICAL SAMPLES
Bibliographic record
Abstract
Background: With respect to the difference in the interaction of thermal neutron and X rays with matter, using two radiography systems of thermal neutron and X rays will yield highly valuable information for studying the inner structure of biologic samples. Methods: The high sensitivity of thermal neutron to hydrogen, in particular, has led to recognizing this system as a useful tool in medical studies in as much to substitute this system as a non-destructive-testing (NDT) technique in the pathology studies for the common microscopic method. Results: In this study, by using two neutron and X radiography systems available at the Atomic Energy Organization Research Center, the inner structure of field mouse bone as a biologic sample was evaluated. Conclusion: The difference in the interaction of thermal neutron and X ray with organic and inorganic elements of bone led to development of different images that would supplement each other and we tried to show those differences by presenting the diagram and table obtained by measuring the optic density.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".