Isotope ratio method: state-of-the-art of forensic applications to CBRNE materials
Bibliographic record
Abstract
The threat of Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) events is a serious challenge worldwide. This threat is aggravated by the prevalence of potential CBRNE materials normally used for industrial and scientific purposes. One potential deterrent to the use of CBRNE materials for nefarious purposes is the ability by law enforcement to attribute interdicted threat materials in terms of their provenance and linking them to people, places, and events. Isotope Ratio Method (IRM) is a technique that utilizes ratios of different isotopes of particular elements present in an investigated material to determine an isotopic signature of that material. A survey of the literature has been conducted in order to consolidate the state of current knowledge on the forensic application of IRM specifically to CBRNE materials. This review is intended for both researchers and policy makers to help identify gaps in knowledge and to determine the strategic direction of research and development to advance the application of IRM in the general arena of public safety and security.
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 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 | 0.001 | 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) | 0.002 | 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".