{"id":"W2102893787","doi":"10.1103/physrevd.74.112002","title":"Measurement of<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msub><mml:mi>B</mml:mi><mml:mi>d</mml:mi></mml:msub></mml:math>mixing using opposite-side flavor tagging","year":2006,"lang":"lv","type":"article","venue":"Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; York University; Simon Fraser University; University of Alberta","funders":"Institut National de Physique Nucléaire et de Physique des Particules; Science and Technology Facilities Council; Consejo Nacional de Investigaciones Científicas y Técnicas; Natural Sciences and Engineering Research Council of Canada; Fundação para o Desenvolvimento da UNESP; Centre National de la Recherche Scientifique; U.S. Department of Energy; Vetenskapsrådet; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Bildung und Forschung; Fundação de Amparo à Pesquisa do Estado de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Russian Foundation for Basic Research; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Federal Agency for Science and Innovation; Deutsche Forschungsgemeinschaft; Korea Science and Engineering Foundation; Western Canada Research Grid; Alexander von Humboldt-Stiftung; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Department of Science and Technology, Ministry of Science and Technology, India; Fermilab; National Science Foundation; Science Foundation Ireland; Secretaría de Ciencia y Técnica, Universidad de Buenos Aires","keywords":"Physics; Particle physics; Luminosity; Algorithm; Combinatorics; Mathematics","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":[0.002525833,0.0007211252,0.0003323063,0.001536205,0.0005086324,0.0009869115,0.0008284362,0.000676476,0.001512632],"category_scores_gemma":[0.002137241,0.0004197581,0.0005061501,0.0008054206,0.0006626936,0.0006360103,0.0009110633,0.000420489,0.0005741995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004138687,"about_ca_system_score_gemma":0.0002526505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006371788,"about_ca_topic_score_gemma":0.0008981237,"domain_scores_codex":[0.998898,0.000291538,0.0000440883,0.000387529,0.0002855126,0.0000933077],"domain_scores_gemma":[0.998422,0.0006652008,0.0003391992,0.0003473136,0.0001341433,0.0000921468],"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":[0.002725377,0.0005775224,0.1247609,0.0001633837,0.0003478901,0.0002468181,0.000212696,0.004819007,0.8004427,0.004585167,0.0003698398,0.0607487],"study_design_scores_gemma":[0.0001127117,0.0009749959,0.07525769,0.00001505823,0.0002043695,0.0006074933,0.00007101412,0.03157425,0.8871546,0.001544036,0.002361846,0.0001220509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9405858,0.0002939278,0.05481551,0.00003986642,0.00001114929,0.00005434749,0.0006342719,0.0002117071,0.00335339],"genre_scores_gemma":[0.949455,0.0002103322,0.04862767,0.00003645759,0.00001133493,0.00004646208,0.0007582347,0.00009381965,0.0007606603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002525833,"threshold_uncertainty_score":0.01335806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280780816159063,"score_gpt":0.2949333832936152,"score_spread":0.2721255751320246,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}