Poster Abstracts
Bibliographic record
Abstract
DOCSPER—A Synthetic Lipid Fit for In Vivo ApplicationDOCSPER [1,3-Dioleoyloxy-2-(N5-carbamoyl-spermine)-propane] is a cationic amphiphile consisting of a hydrophobic 1,3 dioleylglycerol moiety and threefold positively charged spermine head group (). We optimised the 5-step-synthesis of the lipospermine and after up-scaling we have obtained sufficient amounts to initiate preclinical investigations. DOCSPER was tested for its ability to transfect eukaryotic cells in vitro. It has proven to possess high transfection efficiency in comparison to commercially available liposomal transfection agents. Furthermore, DOCSPER was extensively tested in several in vivo studies (). These studies revealed a high transfection efficiency, whereas very low toxicity levels were detected. Thus, the results clearly indicate that the cationic lipid DOCSPER is a reliable, low-risk system for broad applications in gene therapy.Groth D. et al. Int J Pharm 1998; 162:143–157.Nikol S. et al. Int J Angiol 2000; 9:87–95.Armeanu S. et al. Mol Ther 2000; 1(4):366–375.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.740 | 0.542 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".