The Application of Experimental Microdosimetry to Mixed-Field Neutron-Gamma Dosimetry
Bibliographic record
Abstract
Absorbed Dose Distributions In Lineal Energy For Neutrons And Gamma Rays Were Measured Using Both A Tissue-Equivalent Walled Counter (Tepc) And A Graphite-Walled Low Pressure Proportional Counter (Gpc) In The Am-Be Neutron Source Facility At Uoit. A Series Of Measurements Were Performed With The Counters Filled With Propane-Based Te Gas (55.1% C3H8, 39.5% Co2 And 5.4% N2) At Operating Gas Pressures Corresponding To Tissue Spheres 2.0 , 4.0 And 8.0 ?m In Diameter. The Results Of These Measurements Indicated Satisfactory Performance Of The Counters To Measure Microdosimetric Spectra Extending Down To Event-Sizes That Cover The Gamma Component Of A Mixed Field. An Assessment Of The Performance Of Different Size Tepc Has Been Done And Excellent Agreement Between Their Event Size Spectra Was Found With Differences In The Microdosimetric Parameters Yf And Yd Not Exceeding 3%, Which Is In The Region Of Counting Statistics. To Separate Neutron Dose From Gamma Dose A Simple Lineal Energy Threshold Technique Has Been Used In Addition To More Sophisticated Methods Using G-Fitting And Graphite-Walled Counter Measurements. The Results Of This Study Showed That The Absorbed Dose Gamma Fraction Of The Am-Be Source Was 34.5% As Determined By Gamma Fitting And Dual Chamber Methods. The Simple Threshold Technique Gave A Value Of The Gamma Fraction Of 48% Which Is Acceptable For Radiation Protection Monitoring, However, For Radiation Biology And Neutron Metrology The More Sophisticated Methods Of Determining The Gamma Fraction Of The Total Dose Should Be Used.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".