Plastic fingerprint replica: solvent-assisted 3D molding and motion-promoted nano-spherulite formation
Bibliographic record
Abstract
Fingerprinting is an essential form of identification for both biometric security and forensics today. Herein, we describe the procedure and principle of creating highly resolved, chemically robust, 3D fingerprint physical replicas, which is based on the solvent-assisted molding of transparent plastics and motion-promoted growth of semi-crystalline polymeric nanostructures. Prior to fingerprinting atop, polycarbonate, a commercial polymer with excellent durability and optical transparency, is first swelled and softened with a mild solvent (acetone). The molding motion conforms polymer chains between fingerprint ridges, which facilitates the formation of semi-crystalline spherulites and results in greater opacity between ridges than underneath ridges. Besides being more enduring than digital scanning and ink printed counterparts, the plastic fingerprint replicas can provide additional morphological information (depth of the ridge) and high-level details (distribution of sweat pores).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.000 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".