Bibliographic record
Abstract
The IceCube Neutrino Observatory instruments more than a cubic-kilometre of the deep glacial ice below South Pole Station, Antarctica, creating the world's largest water Cherenkov detector. With the addition of a low-energy detection array, DeepCore, completed in 2010, the observatory is sensitive to neutrinos with energies between $\sim$ 5 GeV and the EeV-scale. IceCube has now accumulated the world's largest sample of atmospheric neutrinos, providing the ability to perform precision studies of the flux over the full energy range of the detector. We present sensitivities of atmospheric neutrino flux measurements from $\sim$ 6~GeV - 180~GeV with particular attention to the kaon-to-pion ratio. This analysis will fill in the overlapping regions of atmospheric neutrino flux measurements established at low energies by Super-Kamiokande and at higher energies by IceCube, bridging the current experimental results
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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 | 0.001 |
| Open science | 0.002 | 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".