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Record W7098059974

New Measurements Reported by the Sudbury Neutrino Observatory

2003· article· en· W7098059974 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsnot available
Fundersnot available
KeywordsNeutrinoObservatorySolar neutrinoTable (database)Solar neutrino problemNeutrino oscillationMuonNeutrino detector
DOInot available

Abstract

fetched live from OpenAlex

A common table commodity that people sprinkle on their food every day is the main ingredient in new measurements by scientists at the Sudbury Neutrino Observatory (SNO). In a presentation Sunday, September 7, 2003, at TAUP 2003, a major scientific conference in Seattle, Washington, new measurements are reported that strongly confirm the original SNO results announced in 2001 and 2002 that solved the "Solar Neutrino Problem " and go much further in establishing the properties of neutrinos that cause them to change from one type to another in transit to the Earth from the Sun. "We have moved to a precision phase of the measurements, " says Queen's University Professor Art McDonald, SNO Project Director through the first two phases of the project. "These measurements are essential to define a new theory of elementary particles required to explain finite neutrino masses and their ability to change types. Some of the simplest proposed theories have already been ruled out." To accomplish the new measurements, the SNO Collaboration added 2 tonnes of high-purity table salt (NaCl) to the 1,000 tonnes of heavy water at the heart of the detector, sited two kilometers underground in Inco's Creighton Mine near Sudbury, Canada. Two-thirds of the electron-type neutrinos produced by nuclear reactions in the core of the Sun are observed to change to muon- or tau-type neutrinos before reaching the Earth. "These new, solid results are obtained with a ‘pinch of salt, ’ providing three times better sensitivity to the muon and tau neutrinos, " says Tony Noble, Director of the SNO Institute that administers the project on behalf of an international collaboration of 130 scientists from 15

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.084
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.005
Science and technology studies0.0030.001
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0210.010

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 head0.085
GPT teacher head0.310
Teacher spread0.225 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2003
Admission routes1
Has abstractyes

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