Determination of attenuation coefficients of some wood materials based on thickness and chemical composition
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.
Bibliographic record
Abstract
The variation of linear attenuation coefficients with the densities of different samples is investigated in this paper. For this study, different types of soft wood and hard wood samples were collected from the Pakal forest area of the Warangal district, Andhra Pradesh, India. The linear and mass attenuation coefficients of different wood samples are measured using gamma ray spectrometry based on NaI(Tl) scintillation detector at the gamma ray energies of 661.6 and 59.5 keV. The experimental values of mass attenuation coefficient are compared with that of XCOM data based tool. Figures show the variation of mass attenuation coefficients of wood materials against the absorber thickness (number of mean free paths). From the numerical values, it is inferred that the large thickness of the samples reduces the scattered photons reaching the detector by decreasing the scattering angle.
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 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 it