Influences of the Summer North Atlantic Oscillation (SNAO) on regional climate – from the past to the future
Bibliographic record
Abstract
Climate change – a challenge for the arctic indigenous peoples – the Inuit response Aqqaluk Lynge Total Cross Sections at High Energies — An Update Fazal-e-Aleem, Sohail Afzal Tahir, M. Alam Saeed et al. On Theory of the Statistical Generating Functional for the Order Parameter(I) — General Formalism Zhou Guang-zhao, Su Zhao-bin, Hao Bai-lin et al. Influence of Arctic sea ice on European summer precipitation J A Screen 'Physical minimum' — what problems of physics and astrophysics seem now to be especially important and interesting at the begining of the XXI century? Vitalii L Ginzburg Neoclassical light – An assessment of the voyage into Hilbert space H Jeff Kimble Wind – the challenge (from a European perspective) Erik Lundtang Petersen Influences of the Summer North Atlantic Oscillation (SNAO) on regional climate – from the past to the future
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 | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".