Neutrinos and implications for physics beyond the standard model : 11-13 October 2002, Stony Brook
Bibliographic record
Abstract
Introduction to the Conference (R Shrock, Stony Brook) Necessary Subtlety and Unnecessary Subtley (C N Yang, Stony Brook/Beijing/CUHK) Neutrinos Past and Present (M Goldhaber, BNL) Solar Neutrinos: An Historical Overview (J N Bahcall, IAS, Princeton) Solar Neutrino Results from Superkamiokande (Y Takeuchi, ICRR, Tokyo) Results from the Pure D2O Phase of the Sudbury Neutrino Observatory (F Duncan, Queen's Univ.) Results from SuperKamiokande on Atmospheric Neutrinos and Limits on Matter Instability (C Saji, ICRR, Tokyo) Oscillation Investigations in Soudan 2: Atmospheric numu to nutau and n to n in Iron (T Mann, Tufts Univ.) sin2 (qw) from Neutrino Scattering at NuTeV (K McFarland, Univ. of Rochester) MINOS: The Physics Program and Construction Status (K Lang, Univ. of Texas) Status of the OPERA Experiment on the CNGS Neutrino Beam (P Migliozzi, INFN Napoli) Status of Borexino (A Ianni, Gran Sasso National Lab) Neutrino Masses, Oscillations and Tests with Experiments at Superbeams and a Neutrino Factory (M Lindner, Tech. Univ. Munich) Neutrino Masses with Dynamical Electroweak Symmetry Breaking (T Applelquist, Yale Univ.) SO(10) GUT Models and Their Present Success in Explaining Mass and Mixing Data (C Albright, Northern Illinois Univ./FNAL) Symmetries of Neutrino Mixing (W G Scott, Rutherford Appleton Lab) Overview of SUSY GUT Models of Neutrino Mixing (S M Barr, Bartol Research Insititute) New Local Symmetries Indicated by Neutrino Oscillation Results (R Mohapatra, Univ. of Maryland) Some Implications of Models with Large Extra Dimensions (S Nussinov, Tel Aviv Univ.) Alternatives to the Seesaw: Extra Z's and Constraints on Large Extra Dimensions (P Langacker, Univ. of Pennsylvania) Prospects for Conventional Long-Baseline Oscillation Experiments and Comparison with a Neutrino Factory (D A Harris, FNAL) Very-Long-Baseline Neutrino Oscillation Experiments for Precise Measurements of Oscillation Parameters and Search for CP Violation (M V Diwan, BNL) Hyper-Kamiokande - A Next Generation Water Cherenkov Detector (K Nakamura, KEK ) Physics with Cosmic Neutrinos, PeV to ZeV (T J Weiler, Vanderbilt Univ.) Ultrahigh Energy Neutrinos (M H Reno, Univ. of Iowa) Experiments for Neutrinoless Double-Beta Decay (S R Elliot, LANL) To Be or Not to Be? - First Evidence for Neutrinoless Double Beta Decay (H V Klapdor-Kleingrothaus, Max Planck Institute) A National Underground Science and Engineering Laboratory (T J Bowles, LANL) Probing Grand Unification Through Neutrino Oscillations, Leptogenesis, and Proton Decay (J Pati, Univ. of Maryland).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".