e-Government and identity management in British Columbia: implementation of the BCeID
Bibliographic record
Abstract
The in vivo X-ray micro-computed tomography (micro-CT) is a very powerful and non-invasive tool used to establish high-resolution images with isotropic voxels in typical scan times ranging from minutes to tenths of minutes. This preclinical imaging technology is primarily adapted to visualize bones. X-ray imaging of soft tissues is made possible by using opaque compounds, providing contrast through tissue vascularization. Thus, using control agents with a long-lasting time in the blood, active or passive targeting of soft tissue is made possible in small animals. In this respect, the use of hydrophilic iodinated X-ray contrast media remains limited due to their rapid blood clearance, albeit at a slightly slower pace in humans as compared with rodents. The development of an iodinated contrast medium with increased vascular residence time is thus necessary. This is precisely the scope of the present paper, which will review and compare in detail the different vectors used as long-circulating iodinated contrast agents for micro-CT, i.e. liposomes, nanoemulsions, micelles, dendrimers and other polymeric particles. The discussion is focused, for each of these nanoparticulate systems, on their method of formulation and production, their stability properties, encapsulation properties, release properties, pharmacokinetics, and toxicology. The different aspects relative to the adaptation of these properties and physico-chemical characteristics for blood pool contrast agents aimed at angiographic micro-CT applications are also discussed. The aim of this review is to propose an overview into the formulation and properties of iodinated micro-CT contrast agents for preclinical applications.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".