Bibliographic record
Abstract
Pulmonary hypertension (PH) is rare disease characterized by an important remodelling and proinflammatory cells recruitement into the pulmonary artery wall. Because of the late diagnostic, the patient care is often performed when PH is at its irreversible and most severe stage. Unfortunatly, none of the actual treatments are able to cure the patients for the long term. We hypothesized that inflammation could be a major event at the origin of all the other cellular dysfunctions that characterise PH. Resolvins; metabolites from Omega-3 could resolve inflammation and potentially prevent or reverse PH. Here we show that Resolvin D1 and E1 and their respective precursors MAG-DHA and MAG-EPA could inhibit inflammation status to prevent and potentially cure pulmonary hypertension. The present book is based on a doctoral thesis of Dr R. Hiram, presented in the University of Sherbrooke, in Quebec, the french-speaking province of Canada. In this context, the introduction and discussion have been written in french, but all the experiments and references have been reported in english.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.009 |
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".