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
This chapter includes the overview of all described technologies in this whole book. At the beginning, we address medical point of view to the hand, i.e., inner and outer hand physiology, including nail structure. We continue with very well-known fingerprint recognition, continued by palmprint recognition, recognition of hand and finger veins and finished by 2D and 3D hand geometry recognition. Because of lack of interest and availability, we neglect nail structure recognition for biometric purposes and recognition of thermal images of hand and finger. However, we discuss a very important topic, which is liveness detection, i.e., spoofing and antispoofing methods for various hand-based biometric characteristics, especially fingerprints. ABC systems, watchlists for e-boarders and use of electronic travel documents (e-passports) play an important role for biometric systems based on recognition of hand features, especially for fingerprints because they are used in biometric epassports. This topic is discussed in the second section of this chapter.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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