Record W2916057463 · doi:10.1016/j.physletb.2019.01.067

First search for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"><mml:msup><mml:mrow><mml:mi>K</mml:mi></mml:mrow><mml:mrow><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo stretchy="false">→</mml:mo><mml:msup><mml:mrow><mml:mi>π</mml:mi></mml:mrow><mml:mrow><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mi>ν</mml:mi><mml:mover accent="true"><mml:mrow><mml:mi>ν</mml:mi></mml:mrow><mml:mrow><mml:mo stretchy="false">¯</mml:mo></mml:mrow></mml:mover></mml:math> using the decay-in-flight technique

2019· article· lv· W2916057463 on OpenAlexafffund

E. Cortina, E. Minucci, S. Padolski, P. Petrov, B. Velghe, G. Georgiev, V. Kozhuharov, L. Litov, T. Numao, D. Bryman, Jie Fu, T. Husek, Karol Kampf, M. Zamkovsky, R. Aliberti, G. Khoriauli, J. Kunze, D. Lomidze, R. Marchevski, L. Peruzzo, M. Vormstein, R. Wanke, P. Dalpiaz, M. Fiorini, E. Gamberini, I. Neri, A. Norton, F. Petrucci, H. Wahl, A. Cotta Ramusino, A. Gianoli, E. Iacopini, G. Latino, M. Lenti, A. Bizzeti, F. Bucci, R. Volpe, L. A. Antonelli, G. Lamanna, G. Lanfranchi, G. Mannocchi, S. Martellotti, M. Moulson, M. Raggi, T. Spadaro, F. Ambrosino, T. Capussela, M. Corvino, D. Di Filippo, P. Massarotti, M. Mirra, M. Napolitano, G. Saracino, G. Anzivino, F. Brizioli, E. Imbergamo, R. Lollini, C. Santoni, M. Barbanera, P. Cenci, B. Checcucci, V. Duk, P. Lubrano, M. Lupi, M. Pepé, F. Costantini, L. Di Lella, N. Doble, M. Giorgi, S. Giudici, E. Pedreschi, M. Sozzi, C. Cerri, L. Fantini, R. Piandani, J. Pinzino, L. Pontisso, F. Spinella, I. Mannelli, G. D'Agostini, A. Biagioni, E. Leonardi, A. Lonardo, P. Valente, P. Vicini, Roberto Ammendola, Vincenzo Bonaiuto, L. Federici, A. Fucci, Á. Salamon, F. Sargeni, R. Arcidiacono, B. Bloch-Devaux, M. Boretto, E. Menichetti, E. Migliore, D. Soldi, C. Biino, A. Filippi, F. Marchetto, J. Engelfried, Nora Estrada-Tristan, A.M. Bragadireanu, S. A. Ghinescu, O. Hutanu, T. Enik, V. Falaleev, V. Kekelidze, A. Korotkova, D. Madigozhin, M. Misheva, N. Molokanova, S. Movchan, I. Polenkevich, Yu. Potrebenikov, S. Shkarovskiy, A. Zinchenko, S. Fedotov, E. Gushchin, A. Khotyantsev, A. Kleimenova, Y. Kudenko, V. Kurochka, M. Medvedeva, A. Mefodev, A. Shaikhiev, S. Kholodenko, V. Kurshetsov, V. Obraztsov, A. Ostankov, V. Semenov, V.P. Sugonyaev, O. Yushchenko, L. Bician, T. Blazek, V. Černý, M. Koval, Z. Kucerova, A. Ceccucci, H. Danielsson, N. De Simone, F. Duval, Babette Döbrich, L. Gatignon, R. Guida, F. Hahn, B. Jenninger, P. Laycock, G. Lehmann Miotto, P. Lichard, A. Mapelli, K. Massri, M. Noy, V. Palladino, M. Perrin‐Terrin, V. Ryjov, S. Venditti, M.B. Brunetti, V. Fascianelli, F. Gonnella, E. Goudzovski, C. Lazzeroni, N. Lurkin, F. Newson, C. J. Parkinson, A. Romano, A. Sergi, A. Sturgess, J. Swallow, H. F. Heath, R. Page, S. Trilov, B. Angelucci, D. Britton, C. Graham, D. Protopopescu, J.B. Dainton, J.R. Fry, L. Fulton, D. Hutchcroft, E. Maurice, G. Ruggiero, B. Wrona, A. Conovaloff, P. S. Cooper, D. Coward, P. Rubin

Bibliographic record

VenuePhysics Letters B · 2019

Typearticle

Languagelv

FieldPhysics and Astronomy

TopicParticle physics theoretical and experimental studies

Canadian institutionsUniversity of British ColumbiaTRIUMF

FundersInstituto Nazionale di Fisica NucleareNatural Sciences and Engineering Research Council of CanadaJoint Institute for Nuclear ResearchMinistry of Education and Science of the Russian FederationScience and Technology Facilities CouncilMinistero dell’Istruzione, dell’Università e della RicercaMinistry of Education, Youth and ScienceFonds De La Recherche Scientifique - FNRSBundesministerium für Bildung und ForschungRussian Academy of SciencesRussian Foundation for Basic ResearchH2020 European Research CouncilMinisterstvo Školství, Mládeže a TělovýchovyConsejo Nacional de Ciencia y TecnologíaGrantová Agentura, Univerzita KarlovaAgence Nationale de la RechercheNational Science FoundationRoyal SocietyTRIUMFIstituto Nazionale di Fisica NucleareCERNUniverzita Karlova v Praze

KeywordsBar (unit)PhysicsScrollAlgorithmParticle physicsAnalytical Chemistry (journal)MathematicsChemistryChromatographyTheologyPhilosophy

DOI10.1016/j.physletb.2019.01.067

Abstract

fetched live from OpenAlex

First search for K

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 distilled prediction

Teacher imitation

Not 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)0.005

metaresearch head score (Gemma)0.003

Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated

Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)

Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)

DomainCandidate signal: none · Consensus signal: none

Study designCandidate signal: Bench or experimental · Consensus signal: none

GenreCandidate signal: Empirical · Consensus signal: none

Teacher disagreement score0.908

Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

Category	Codex	Gemma
Metaresearch	0.005	0.003
Meta-epidemiology (narrow)	0.004	0.008
Meta-epidemiology (broad)	0.001	0.008
Bibliometrics	0.002	0.005
Science and technology studies	0.006	0.008
Scholarly communication	0.006	0.006
Open science	0.009	0.009
Research integrity	0.007	0.007
Insufficient payload (model declined to judge)	0.654	0.007

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 head0.252

Teacher spread0.233 · 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; both teacher heads agree on what is shown here.

Meta-epidemiology (narrow)Science and technology studies Open science Research integrity Insufficient payload (model declined to judge)

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

Citations71

Published2019

Admission routes2

Has abstractyes

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