Development of a Biomolecular Analyzer Based on Ion-conductingNanopores: The iNAPO Project
Bibliographic record
Abstract
Analyzing biologically relevant molecules is an important aspect of medical diagnostics. The iNAPO project aims at developing a device that is able to specifically detect and quantitatively analyze biomolecules. An example is tumor markers that are emitted by the tumor at elevated levels and can be found in body liquids. The analyzer device core consists of a polymer foil containing a nanopore. In analogy to biological nanopores that control e.g. mass transfer into and out of a cell, the biomimetic artificial nanopore allows the passage of ions of an aqueous electrolyte in an electrochemical two - compartment cell from one compartment to the next one under the influence of an electrical field. When the nanopore wall contains certain immobilized molecules that specifically react with the biomolecules to be analyzed, the ionic current is influenced. The difference in th e current can directly be correlated to the presence and the quantity of the biomolecule. As an example, the measurement of small quantities of histamine, the well known neurotransmitter, is shown.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".