{"id":"W4401687275","doi":"10.1103/physrevd.110.032015","title":"Calibration of a soft secondary vertex tagger using proton-proton collisions at s=13  TeV with the ATLAS detector","year":2024,"lang":"en","type":"article","venue":"Physical review. D/Physical review. 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National Science and Technology Council; European Social Fund; Royal Society; Centre National pour la Recherche Scientifique et Technique; European Regional Development Fund; British Columbia Knowledge Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; Knut och Alice Wallenbergs Stiftelse; Israel Science Foundation; Ministerstwo Edukacji i Nauki; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Generalitat de Catalunya; Generalitat Valenciana; Agencia Nacional de Investigación y Desarrollo; Istituto Nazionale di Fisica Nucleare; Ministero dell'Università e della Ricerca; Grantová Agentura České Republiky; Austrian Science Fund; U.S. Department of Energy; National Natural Science Foundation of China; European Commission; Leverhulme Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; Javna Agencija za Raziskovalno Dejavnost RS; Science and Technology Facilities Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministry of Science and Technology of the People's Republic of China; Agence Nationale de la Recherche; National Science Foundation; Baden-Württemberg Stiftung; H2020 European Research Council; Norges Forskningsråd; Alexander von Humboldt-Stiftung; TRIUMF; Danmarks Grundforskningsfond; Türkiye Enerji, Nükleer ve Maden Araştırma Kurumu; Canarie; CERN; Centres de Recerca de Catalunya; Ministerio de Ciencia e Innovación","keywords":"Physics; Hadron; Algorithm; Luminosity; Calibration; Particle physics; Vertex (graph theory); Combinatorics; Mathematics; Astrophysics; Graph","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002197866,0.001112931,0.0006604465,0.001128799,0.0009978571,0.002897245,0.001647855,0.001670865,0.006251429],"category_scores_gemma":[0.003100202,0.0006233563,0.0006444606,0.001383346,0.0004948574,0.0009722878,0.001803656,0.0009434551,0.003087834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001439913,"about_ca_system_score_gemma":0.001268967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001476768,"about_ca_topic_score_gemma":0.002373336,"domain_scores_codex":[0.9985387,0.0002346014,0.00007643046,0.0005014639,0.0005052403,0.0001435699],"domain_scores_gemma":[0.9982027,0.0005451266,0.000260925,0.0004911048,0.0003322937,0.0001677075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01081069,0.001076574,0.09024491,0.0006149327,0.0006370654,0.001160868,0.0006645737,0.1330355,0.4400273,0.01968148,0.01016256,0.2918836],"study_design_scores_gemma":[0.0004740852,0.00146731,0.02622609,0.00005686925,0.0002523234,0.0009651951,0.000152018,0.3076763,0.6460087,0.004413642,0.01212019,0.0001873407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6164145,0.0004814728,0.3359871,0.0005457266,0.0006805822,0.0004044199,0.002095263,0.01552817,0.02786277],"genre_scores_gemma":[0.9283141,0.0001119002,0.06550036,0.0002582459,0.00002955282,0.00009018815,0.001415851,0.0006842318,0.003595426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006251429,"threshold_uncertainty_score":0.02091312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616177438617643,"score_gpt":0.3075581431977117,"score_spread":0.2913963688115353,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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