Hydrogen isotope
Bibliographic record
Abstract
Stable isotope analysis is a valuable tool in forensic investigation. Recently, isotopic investigation is in great trend, Forensic discipline is making use of multi-purpose isotopic profiles along with isotopic landscapes or isoscapes from body tissues. These isotopes help in predicting the geographical location or origin of the unidentified body. Isotope analysis is a commendable and powerful tool for geolocation and can provide investigative leads to the investigating officer as well as forensic experts. This review article basically focuses on the hydrogen isotopes and their applications in forensic science. Being a bio-element, it is ubiquitous and has immense biological and chemical significance. We have discussed the role of hydrogen isotopes in different disciplines of forensic science such as forensic biology, wildlife forensics, forensic anthropology, forensic chemistry and toxicology etc. and the newer advancements that are employed in this discipline for making the analysis more accurate and robust. This field is still in its growing stage and hence, with more advancements, it will provide a great aid in forensic investigation.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".