Bibliographic record
Abstract
only one of many national funding agencies (9). These findings contradict Piqu's statement. We encourage Piqu to publish the data on which he relied for this assertion. His statement implies that the Spanish program to bring Spanish scientists back is satisfactory and that "brain drain" is not a crucial problem. We consider that present conditions are not adequate to reincorporate Spanish researchers or to attract foreign ones. We encourage Piqu and future science ministers to establish a longterm scientific policy aimed at attracting high-quality scientists, regardless of their country of origin. CRISTINA MUOZ-PINEDO, * MIGUEL A. DEL POZO, JOS A. GLVEZ, EVA M. MORENO, JAVIER BUCETA-FERNNDEZ, 5,6 MARTA GARCIA-SANCHEZ, JOSE M.VALDIVIELSO, ELENA BASCONES, AND 2704 OTHER SCIENTISTS+ La Jolla Institute for Allergy and Immunology, 10355 Science Center Drive, San Diego, CA 92121, USA. Departments of Immunology and Cell Biology, The Scripps Research Institute, 1
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.190 | 0.052 |
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".