Elemental Analysis of Basalt by Instrumental Neutron Activation Analysis and Inductively Coupled Plasma Mass Spectrometer
Bibliographic record
Abstract
Background: Because of its high sensitivity, activation analysis has become an important tool in a wide variety of science and engineering fields such as industry, mineral exploration, medicine, environmental monitoring and forensic applications. Methodology: Therefore, Instrumental Neutron Activation Analyses (INAA) Au+34 packages from ACT Lab Canada have been used to achieve accurate knowledge about the elemental analysis of basalt rock collected from Hail Northeast of Saudi Arabia. The samples were prepared for irradiation by thermal neutrons using thermal neutron flux of 710 12 n cmG 2 secG 1 . Twenty five elements were determined and identified namely: As, Co, Cr, Sb, Sc, Zn, Ba, Br, Sr, Zr, Cs, Hf, Mo, Rb, Th, U and eight rare earth elements namely: La, Ce, Nd, Sm, Eu, Yb, Tb and Lu. In addition, 15 elements were determined and identified by inductively coupled plasma mass spectrometer namely: Be, Cu, Dy, Er, Ga, Ge, Ge, Ho, Nb, Ni, Pb, Sn, Tm, V and Y. Results: The data presented here are our contribution to understanding the elemental composition of basalt rock.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".