Bibliographic record
Abstract
MINERvA is a dedicated neutrino cross section experiment that ran in the NuMI beamline at Fermilab from 2009 through 2019. MINERvA has made a broad suite of measurements that are informing the neutrino interaction models in use by not only today's oscillation experiments but also by future generations of oscillation experiments. Of particular interest are MINERvA's measurements of the quasielastic-like and pion production processes, since those channels dominate the oscillation landscape. MINERvA has also ushered in the era of using neutrino electron scattering to make precise flux predictions, another important input for oscillation experiments. This paper briefly describes a few recently published results from MINERvA's neutrino and antineutrino scattering sample on the hydrocarbon target including its new flux constraints, and points to some upcoming quasielastic and pion production results that will showcase simultaneous measurements of exclusive final states across different nuclei, ranging from carbon and water to iron and lead.
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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 | 0.012 | 0.033 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.142 | 0.176 |
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".