PORTABLE X-RAY FLUORESCENCE TRACE METAL MEASUREMENT IN ORGANIC RICH SOILS: PXRF RESPONSE AS A FUNCTION OF ORGANIC MATTER FRACTION
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
Abstract The influence of organic matter fraction on portable X-Ray fluorescence (pXRF) trace metal measurements was investigated through the incremental addition of three organic matter surrogates (cellulose, graphite powder, and confectioner's sugar) to a soil matrix. Each surrogate was independently added to and homogenized with samples of Natural Resources Canada Till-1 standard reference material that was initially expunged of organic matter through combustion. Incremental addition was performed 20 times for each surrogate, and concentrations of thirteen elements were measured as a function of varying organic matter fractions using a Thermo Scientific Niton XL3t GOLDD+ 950 XRF analyzer. Results demonstrate attenuation of the pXRF signal with increasing sample organic matter fraction; however, elementally dependent deviations from expected concentrations were also observed. An empirical organic matter fraction-dependent calibration method was developed and its performance was evaluated using four unmodified soil standards with known organic matter content. Estimates incorporating soil organic matter differed from conventional calibration estimates neglecting organic matter content, yet were able to reproduce standard reference material values with similar success.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 it