VALIDACE TERÉNNÍHO RENTGEN-FLUORESCENČNÍHO SPEKTROMETRU PRO POTŘEBY ANALÝZ PŮD, ŘÍČNÍCH SEDIMENTŮ A SUSPENDOVANÉ HMOTY
Bibliographic record
Abstract
The portable X-ray-fluorescence analyser is being used for Ag, As, Ba, Cd, Co, Cr, Cu, Fe, Hg, Mn, Mo, Ni, Pb, Rb, Sb, Se, Sn, Sr, Ti, U, V, Zn a Zr. There is an Alpha model (Innov-X Systems, Inc) used at the Czech Geological Survey for geological mapping, contamination of the soil, stream sediment or vegetation and for geochemical purposes and environmental mapping. For the measurement the total amount of sample with 10–30 g of material was used, it means such amount of material which can cover in large measure the window of the instrument. The thickness of the measured layer varies from 3 to 20 mm. For the study purposes 100 samples was analyzed including 20 reference laboratory samples. Its specification is presented in Table 1. To compare both sets of samples the whole rock analysis of duplicate samples has to be mesasured and this kind of analysis was provided by Acme Analytical Laboratories (Vancouver) Ltd., Canada. The results shows that correlation between measurement based on XRF method and reference materials or classic laboratory measurements corresponds in a good way. The most of the evaluated components reaches acceptable relative errors by precision of the measurement. Using this instrument makes the process of samples selection for the regional environmental research or core samples measurement much easier. In a short period we can analyze the wide spectrum of components under the low cost budget.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.008 |
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".