{"id":"W7020705246","doi":"","title":"Measurement of inclusive and differential cross sections in the H â ZZ&lt;sup&gt;*&lt;/sup&gt;â 4â decay channel in pp collisions at âs=13 TeV with the ATLAS detector","year":2017,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Israeli Centers for Research Excellence; Institut National de Physique Nucléaire et de Physique des Particules; Agencia Nacional de Promoción Científica y Tecnológica; Natural Sciences and Engineering Research Council of Canada; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Shota Rustaveli National Science Foundation; Centre National de la Recherche Scientifique; Max-Planck-Gesellschaft; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Japan Society for the Promotion of Science; Israel Science Foundation; Bundesministerium für Bildung und Forschung; Ministry of Education, Culture, Sports, Science and Technology; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; General Secretariat for Research and Technology; Austrian Science Fund; Danmarks Grundforskningsfond; Comisión Nacional de Investigación Científica y Tecnológica; Centre National pour la Recherche Scientifique et Technique; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Ministerstwo Edukacji i Nauki; CERN; Fundação para a Ciência e a Tecnologia; Fundação de Amparo à Pesquisa do Estado de São Paulo; National Natural Science Foundation of China; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Higgs boson; Large Hadron Collider; Standard Model (mathematical formulation); Luminosity; Atlas (anatomy); Boson; ATLAS experiment; Fiducial marker; Hadron","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001084461,0.000652301,0.0003004072,0.002433242,0.000600216,0.0009215499,0.0008242587,0.0004844541,0.005460193],"category_scores_gemma":[0.0006808835,0.0004892288,0.0004673572,0.001784069,0.0004773929,0.0005732261,0.001089537,0.0003997211,0.0009844674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009575511,"about_ca_system_score_gemma":0.0004050348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003395102,"about_ca_topic_score_gemma":0.005513312,"domain_scores_codex":[0.9993351,0.0001091551,0.00003337382,0.0001924685,0.000217024,0.0001128045],"domain_scores_gemma":[0.9992622,0.0002622718,0.0001761396,0.00008401206,0.0001292174,0.00008607048],"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":[0.006440937,0.0006387108,0.4381635,0.0005662022,0.001033825,0.002273372,0.0007934968,0.01331494,0.4507377,0.02162027,0.01330944,0.05110759],"study_design_scores_gemma":[0.0001592518,0.0005755008,0.4759023,0.00003515524,0.0003405089,0.002010325,0.000360722,0.02091891,0.4809371,0.005158193,0.01340667,0.0001955538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721642,0.0006050519,0.006855662,0.00008571972,0.00004085535,0.00002838477,0.007137356,0.0005160685,0.01256667],"genre_scores_gemma":[0.9878584,0.0001914219,0.002251294,0.00004297947,0.00001213217,0.00002810175,0.00616493,0.00006272637,0.003387975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005460193,"threshold_uncertainty_score":0.0182662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351657501991226,"score_gpt":0.2357195101109945,"score_spread":0.2222029350910822,"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."}}