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Record W4393238933 · doi:10.2172/2290369

Underground Physics at Berkeley: SNO, SNO+ and Detector R&D

2018· report· en· W4393238933 on OpenAlexaboutno aff
G. D. Orebi Gann

Bibliographic record

Venuenot available
Typereport
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsnot available
Fundersnot available
KeywordsDetectorPhysicsNuclear physicsEngineering physicsOptics

Abstract

fetched live from OpenAlex

Final technical report on the work carried out under this grant. The group plays a leadership role in both detector operations and production of science results from SNO+. The previous period has seen over 20 papers produced in journals such as Phys. Rev. C, Phys. Rev. D, and Eur. Phys. Jour. C. Results include new science from the Sudbury Neutrino Observatory, scientific results from the water phase of SNO+, and small-scale R&D work. The group has played a leadership role in each physics result from SNO and SNO+ during this period, including new solar neutrino results, leading limits on certain moves of invisible nucleon decay, limits on the neutrino lifetime and Lorentz violating effects, and studies of neutrons produced by cosmogenic muon and atmospheric neutrino interactions.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.167
Threshold uncertainty score0.559

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1670.073

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.

Opus teacher head0.075
GPT teacher head0.351
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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