Bibliographic record
Abstract
L'objectif de la série de campagnes "NEXT STEP" (briNe formation in a warming world: EXTending the STorfjordEn Polynya time series) est de poursuivre la série temporelle unique documentant la formation d'eau dense par rejet de saumures dans le Storfjorden. Ces observations, initiées en 2011, sont essentielles pour documenter l'impact du réchauffement rapide et de grande ampleur, actuellement en cours dans les régions arctiques sur la formation d¿eaux denses et le flux air-mer de CO2 qui lui y est associé. Elles sont complémentaires des travaux d'observation en cours dans la mer de Barents (projet norvégien "Nansen Legacy") et le détroit de Nares (projet franco-canadien "Refuge Arctic"). Nous souhaitons donc assurer la continuité de la série chronologique de suivi de la formation d'eau dense dans le Storfjorden au cours des 5 à 10 prochaines années.
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 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.674 | 0.468 |
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".