Use of the Backtrack™ Computer Program for Bloodstain Pattern Analysis of Stains from Downward-Moving Drops
Bibliographic record
Abstract
ABSTRACTUsing Directional Analysis, the BackTrack™ suite of computer programs can be used to analyze a crime scene in which bloodstains only from downward-moving drops are available. Only two of three Cartesian coordinates for the blood source location can be accurately determined, but this is still significantly better than the stringing and tangent methods, which cannot accommodate the stains from downward-moving drops without great difficulty. Crime scene investigators with access to this computer program should be aware of the program's ability to use data that cannot be used easily in other methods of analysis.RÉSUMÉGrâce à une analyse directionnelle, la suite de logiciel BackTrack™ peut être employée pour analyser une scène de crime où seules des taches de sang provenant de gouttes tombées d'en haut et en mouvement sont présentes. Maglré le fait que seules deux des trois coordonnées cartésiennes du lieu de la source de sang peuvent être déterminées, cette méthode est significativement meilleure que les méthodes avec cordes et tangentes, qui ne peuvent accommoder ces sortes de taches qu'avec grande difficulté. Les enquêteurs en scène de crime ayant accès à ce logiciel doivent être avisés des capacités d'analyse de certaines données qui ne pourraient pas être facilement utilisées avec d'autres méthodes d'analyse.
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 | 0.001 |
| 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) | 0.000 | 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 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".