Bibliographic record
Abstract
This paper is a summary of three oral presentations, as well as the ensuing discussion, at the Rijeka/Opatija 3rd Alps Adria Immunology meeting by three members of the European Biomed group on vertical transmission of HIV (G. Chaouat, F. Barre-Sinoussi, G. Scarlatti). This group also involves the laboratories of D. Dormont (CEA, Fontenay aux roses, France), P. Gounon (Electron Microscopy, the Pasteur Institute, France; Irène Athanassakis, University of Crete, Greece; Eva Maria Fenyö, Karolinska Institute, Sweden; and Larry Guilbert, Canada). As such, this paper intends to be neither a review, nor an original article, but rather is an opinion paper discussing the working hypothesis of this network, as well as some of their recent results, which were presented at this meeting. The paper was issued at the request of the organizers of the meeting.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".