Best Practices for Reporting Atom Probe Analysis of Geological Materials
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 application of atom probe tomography (APT) within the Earth and planetary sciences has produced novel data sets that answer fundamental questions about the near-atomic scale distribution of elements and isotopes within minerals. It involves the incremental evaporation, detection, and subsequent computer reconstruction of charged particles from a needle-shaped specimen. The range of applications is growing such that protocols for reporting are needed for APT data comparison and quality assessment among natural materials. A particular challenge of APT science relates to documenting the instrumental and analyst-dependent conditions that affect the mass spectral and spatial qualities of the data and their interpretation. This contribution outlines recommended data reporting procedures for publication of ATP data in terms of the sample preparation, data collection, and reconstruction phases as well as the characterization and interpretation of the reconstructed volume. Coordinated reporting of this basic information will promote efficient communication of protocols, and aid in the evaluation of published atom probe data as geologists continue to explore atomic compositions and distributions at nanoscale.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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