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Characterization of the astrophysical diffuse neutrino flux using starting track events in IceCube
M. Ackermann, J. Adams, Sanjib Kumar Agarwalla, J. A. Aguilar, M. Ahlers, Jean-Marco Alameddine, N. M. Amin, K. Andeen, G. Anton, C. Argüelles, Yosuke Ashida, S. Athanasiadou, L. Ausborm, Spencer Axani, X. Bai, Aswathi Balagopal, M. Baricevic, S. W. Barwick, Simeon Bash, Vedant Basu, R. Bay, J. J. Beatty, J. Becker Tjus, Jakob Beise, Chiara Bellenghi, Charlotte Benning, S. BenZvi, D. Berley, E. Bernardini, D. Besson, E. Blaufuss, Summer Blot, Federico Bontempo, Julia Book, Caterina Boscolo Meneguolo, S. Böser, O. Botner, J. Böttcher, J. Braun, Bennett Brinson, Jannes Brostean-Kaiser, Livia Brusa, Ryan T. Burley, Raffaela Busse, Delaney Butterfield, Michael Campana, I. Caracas, K. Carloni, J. Graciá‐Carpio, S. Chattopadhyay, Thien Nhan Chau, Z. Chen, D. Chirkin, S. Choi, Brian Clark, Alan Coleman, G. H. Collin, A. Connolly, J. M. Conrad, Paul Coppin, Rebecca Corley, Pablo Correa, D. F. Cowen, Pranav Dave, C. De Clercq, James DeLaunay, D. Delgado, S. 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Bibliographic record
VenuePhysical review. D/Physical review. D. · 2024
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsQueen's UniversityUniversity of AlbertaInstitute of Particle Physics
FundersOffice of Experimental Program to Stimulate Competitive ResearchJapan Society for the Promotion of ScienceNatural Sciences and Engineering Research Council of CanadaPhysics Division, National Center for Theoretical SciencesOffice of Polar ProgramsCollege of Engineering, Michigan State UniversityAlliance de recherche numérique du CanadaHelmholtz Alliance for Astroparticle PhysicsInstitute for Global Prominent Research, Chiba UniversityRWTH Aachen UniversityKnut och Alice Wallenbergs StiftelseMarsden FundBundesministerium für Bildung und ForschungSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science FoundationBelgian Federal Science Policy OfficeDeutsche ForschungsgemeinschaftDeutsches Elektronen-SynchrotronNational Energy Research Scientific Computing CenterAustralian Research CouncilWestern Canada Research GridFonds De La Recherche Scientifique - FNRSPolarforskningssekretariatetUniversity of MarylandWisconsin Alumni Research FoundationNational Research Foundation of KoreaVillum FondenCompute CanadaCanada Foundation for InnovationMarquette UniversityVetenskapsrådetU.S. Department of EnergyUniversity of Wisconsin-MadisonNvidiaCarlsbergfondetOffice of Advanced CyberinfrastructureEuropean CommissionNational Research FoundationMichigan State UniversityFonds Wetenschappelijk Onderzoek
KeywordsCharacterization (materials science)NeutrinoFlux (metallurgy)PhysicsTrack (disk drive)Nuclear physicsAstrophysicsComputer scienceMaterials scienceOptics
Abstract
OpenAlex records an abstract for this work, but it could not be fetched just now.
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.
metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.732
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.003 |
| 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.
Opus teacher head0.019
GPT teacher head0.367
Teacher spread0.347 · how far apart the two teachers sit on this one work
Validation status
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; both teacher heads agree on what is shown here.
Study designBench or experimental
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
Citations60
Published2024
Admission routes2
Has abstractyes