Altering the properties of the blood-brain barrier: disruption and permeabilization
Bibliographic record
Abstract
By way of its intrinsic structural and physiological properties, the blood-brain barrier (BBB) represents a formidable obstacle to the delivery of drug to the central nervous system. The treatments of many diseases affecting the central nervous system is thereby complicated by the aspect of delivery, that is, insuring that the therapeutic molecule will reach the target cell in sufficient concentration, and in a suitable timing for the treatment to be effective. Although many different etiologic conditions will be affected by this delivery impediment, in no other condition has it been as extensively documented as in malignant brain tumors. Brain tumor is the prototypical situation through which one can best exemplify the problematic of delivery across the blood-brain barrier. We will therefore frequently refer to this particular problematic, acknowledging the fact that a lot of research endeavour in this field was undertaken as alternate strategies in the treatment of brain tumors. However, by no means will we imply that these strategies should be restricted to the treatment of cerebral malignancies.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".