← Back to cohort
Measurement of the integrated luminosity of the Phase 2 data of the Belle II experiment
Abudinén F., Adachi I., Ahlburg P., Aihara H., Akopov N., Aloisio A., Ameli F., Andricek L., Anh Ky N., Asner D. M., Atmacan H., Aushev T., Aushev V., Aziz Abbas T, Azmi K., Babu V., Baehr S., Bahinipati S., Bakich A. M., Bambade P., Banerjee Sw., Bansal S., Bansal V., Barrett M., Baudot J., Beaulieu A., Becker J., Behera P. K., Bennett J. V., Bernieri E., Bernlochner F. U., Bertemes M., Bessner M., Bettarini S., Bhardwaj V., Bianchi F., Bilka T., Bilokin S., Biswas D., Bonvicini G., Bożek A, Bračko M., Branchini P., N Braun, Browder T. E., Budano A., Bussino S., Campajola M., Cao L., Casarosa G., Cecchi Pestellini C., Červenkov D., Chang M.-C., Chang P., Cheaib R., Chekelian V., Chen Y. Q., Chen Y.-T., Cheon B. G., Chilikin K., Cho H.-E., Cho K., Cho S., Choi S.-K., Choudhury S., Cinabro D., Corona Castillo L, Cremaldi L. M., Cunliffe S., Czank T., Dattola F., De La Cruz-Burelo E., de Nardo G, De Nuccio M., de Oliveira Tadeu G., De Sangro R, Destefanis M., Dey S., De Yta-Hernandez A., Di Capua F, Di Carlo S., Dingfelder J., Doležal Z., Domínguez Jiménez I., Dong T. V., Dort K., Dubey R S, Duell S., Eidelman S., Eliachevitch M., Ferber T., Ferlewicz D., Finocchiaro G., Fiore S., Fodor Becsky A, Forti F., Frey A., Fulsom B. G., Gabriel M., Ganiev E., García-Hernández M., Garg R., Garmash A., Gaur V., Gaz A., Gebauer U., Gellrich A., Gemmler J., Geßler T., Giordano R., Giri S. A, Gobbo B., Godang R., Goldenzweig P., Golob B., Gomis P., Grace P., Gradl W., Graziani E., Greenwald D., Hadjivasiliou C., Halder S., Hara K., Hara T., Hartbrich O., Hayasaka K., Hayashii H., Hearty C., Hedges M. T., Heredia de la Cruz I., Hernández Villanueva M., Hershenhorn A., Higuchi T., Hill E. C., Hirata H., Hoek M., Hollitt S., Hotta T., Hsu C.-L., Hu Y., Huang K., Iijima T., Inami K., Inguglia G., Irakkathil Jabbar J., Ishikawa A., Itoh R., Iwasaki M., Iwasaki Y, Iwata S., Jackson P., Jacobs W. W., Jaffe D. E., Jang E.-J., Jeon H. B., Jia S., Jin Y., Joo C., Kahn J, Kakuno H., Kaliyar A. B., Karyan G., Kato Y., Kawasaki T., Kichimi H., Kiesling C., Kim B. H., Kim C.-H., Kim D. Y., Kim S.-H., Kim Y. K., Kim Y., Kimmel T. D., Kinoshita K., Kleinwort C., Knysh B., Kodyš P., Koga Kenneth T., Komarov E. I, Konno T., Korpar S., Kotchetkov D., Kovalchuk Mariya N., Kraetzschmar T. M. G., Križan P., Kroeger R., Krohn J. F., Krokovny P., Kuehn W., Kuhr T., Kumar M., Kumar R., Kumara K., Kurz S., Kuzmin A., Kwon Y.-J., Lacaprara S., Lai Y.-T., La Licata C., LALWANI ANIL K, Gill, Lange J. S., Lautenbach K., Lee I-S, Lee S. C., Leitl P., Levit D., Lewis P. M., Li C., Li L. K., Li S. X., Li Y. M., Li Y. B., Libby J., Lieret K., Li Gioi L., Lin J, Liptak Z., Liu Q. Y., Liventsev D., Longo S., Loos A., Luetticke F., Luo T., MacQueen C., Maeda Y., Maggiora M., Maity S., Manoni E., Marcello S., Marinas C., Martini A., Masuda M., Matsuoka K., Matvienko D., McNeil Barbara J., Mei J. C., Meier F., Merola M., Metzner F., Milesi M., Miller C., Miyabayashi K., Miyata H., Mizuk R., Mohanty G. B., Moon David H., Morii T., Moser H.-G., Mueller F, Müller F. J., Muller Th., Mussa Mahamudi R, Nakamura K. R., Nakano E., Nakao M., Nakayama H., Nakazawa H., Nayak M., Nazaryan G., Neverov D., Niiyama M., Nisar N. K., Nishida S, Nishimura K., Nishimura M., Nouxman M. H. A., Oberhof B., Ogawa J Ito S, Onishchuk Y., Ono H., Onuki Y., Oskin P., Ozaki H., Pakhlov P., Pakhlova G., Paladino A., Pang Peter K T, Paoloni E., Park H., Park S.-H., Paschen B., Passeri A., Patra S., Paul S., Pedlar T. K., Peruzzi I., Peschke R., Pestotnik R., Piccolo M., Piilonen L. E., Podesta-Lerma P. L. M., R. V. Popov, Praz C., Prencipe E., Prim M. T., Purohit M. V., Rados P., Remnev M., Resmi P. K., Ripp-Baudot I., Ritter M., Ritzert M., Rizzo G., Rizzuto L. B., Robertson S. H., Rodriguez Perez D, Roney J. M., Rosenfeld C., Rostomyan A., Rout N., Russo G., Sahoo D., Sakai Y, Sanders D. A., Sandilya S., Sangal A, Santelj L., Sartori P., Sato Y., Savinov V., Scavino B., Schram Alison M, Schreeck H., Schueler J., Schwanda C., Schwartz A. J., Schwenker B., Seddon R. M., Seino Y., Selce A., Senyo K., Sevior M. E., Sfienti C., Shen C. P., Shibuya H., Shiu J.-G., Sibidanov A., Simon F., Skambraks S., Sobie R. J., Soffer A., Sokolov A., Solovieva E., Spataro S., Spruck B., Starič M., Stefkova S., Stottler Z. S., Stroili R., Strube J., Sumihama M., Sumiyoshi T, Summers D. J., Sutcliffe W., Tabata M., Takizawa M., Tamponi U., Tanaka S., Tanida K., Tanigawa H., N Taniguchi, Tao Y., Taras P., Tenchini F., Torassa E., Trabelsi K., Tsuboyama T., Tsuzuki N., Uchida M., Ueda I., Uehara S., Uglov T., Unger K., Unno Y., Uno S., Urquijo P., Ushiroda Y., Vahsen S. E., van Tonder R., Varner G. S., Varvell K. E., Vinokurova A., Vitale L., Vossen A., Waheed E., Wakeling H. M., Wan K., Wan Abdullah W, Wang Y. B., Wang M.-Z., Wang X. L., Warburton A., Watanabe M., Watanuki S., Webb J., Wehle S., Wermes N., Wessel C., Wiechczynski J., Wieduwilt P., Windel H., Won E., Yamada S., Yan W., Yang S. B., Ye H., Yelton J., Yin J. H., Yonenaga M., Yook Y. M., Yuan C. Z., Yusa Y., Zani L., Zhang J. Z., Zhang Z., Zhilich V., Zhou Q. D., Zhou X. Y., Zhukova V. I., Zhulanov V., Zupanc A.
Bibliographic record
VenueInstitutional Repositories DataBase (IRDB) · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersInstitut National de Physique Nucléaire et de Physique des ParticulesAkademi Sains MalaysiaJapan Society for the Promotion of ScienceNatural Sciences and Engineering Research Council of CanadaKorea Research Environment Open NetworkIstituto Nazionale di Fisica NucleareNational Institute of InformaticsMinistry of Science and Higher Education of the Russian FederationBundesministerium für Bildung, Wissenschaft und ForschungMinistry of Education and Science of UkraineNational Foundation for Science and Technology DevelopmentMax-Planck-GesellschaftMinistry of Education, Culture, Sports, Science and TechnologyKorea Institute of Science and Technology InformationLiaoning Revitalization Talents ProgramBundesministerium für Bildung und ForschungKorea Institute of Science and TechnologyThailand Center of Excellence in PhysicsUnited States-Israel Binational Science FoundationGeneralitat ValencianaNational Research FoundationAustrian Science FundUniverzita Karlova v PrazeCentre National de la Recherche ScientifiqueCAS Center for Excellence in Particle PhysicsChinese Academy of SciencesU.S. Department of EnergyNational Natural Science Foundation of ChinaNational Science FoundationCompute CanadaCanarieDeutsche ForschungsgemeinschaftJavna Agencija za Raziskovalno Dejavnost RSTürkiye Bilimsel ve Teknolojik Araştırma KurumuAlexander von Humboldt-Stiftung
KeywordsLuminosityDetectorMeasure (data warehouse)Sample (material)Digamma functionCalibrationPhase (matter)Energy (signal processing)
DOInot available
Abstract
OpenAlex records an abstract for this work, but it could not be fetched just now.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.022
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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 head0.055
GPT teacher head0.293
Teacher spread0.238 · 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; 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 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
Citations0
Published2020
Admission routes1
Has abstractyes