{"id":"W7071265489","doi":"","title":"Search for squarks and gluinos in events with jets and missing transverse energy using 2.1 fb<sup>-1</sup> of <i>pp</i> collision data at √s = 1.96 TeV","year":2008,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Secretaría de Ciencia y Técnica, Universidad de Buenos Aires; 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; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Western Canada Research Grid; Korea Science and Engineering Foundation; Department of Science and Technology, Ministry of Science and Technology, India; Grantová Agentura České Republiky; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Federal Agency for Science and Innovation; Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung; Fermilab; Science Foundation Ireland; National Science Foundation","keywords":"Gluino; Tevatron; Luminosity; Collider Detector at Fermilab; Collider; Fermilab; Collision; Large Hadron Collider; Supergravity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001392663,0.00009635173,0.0002036293,0.0001781712,0.0002627944,0.00001002832,0.0006352491,0.00009536777,0.000002128174],"category_scores_gemma":[0.000006166819,0.0001046634,0.00002238718,0.0004538836,0.0002354806,0.0004661773,0.0005715355,0.00006718565,1.996498e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003843944,"about_ca_system_score_gemma":0.00009167663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007409121,"about_ca_topic_score_gemma":0.0001580907,"domain_scores_codex":[0.9991255,0.00002829805,0.0001125447,0.0003930747,0.0001774447,0.0001630749],"domain_scores_gemma":[0.9991639,0.0001161107,0.00008033939,0.0005140382,0.00007145566,0.00005413956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00161067,0.001964564,0.4830075,0.001051797,0.0003254008,0.0003400351,0.01954862,0.01844951,0.06861956,0.03132519,0.001917035,0.3718401],"study_design_scores_gemma":[0.003313368,0.0003789166,0.01497935,0.0001947998,0.00003833418,0.00008456862,0.002011788,0.9627597,0.01179892,0.0006343026,0.003485768,0.000320151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7954893,0.0001785414,0.2036555,0.0003906566,0.0000049632,0.0001752006,0.00003524778,0.00002523558,0.00004529763],"genre_scores_gemma":[0.9035247,0.0002820232,0.0961234,0.00001151793,0.000003851317,4.456264e-7,0.00001095563,0.000005081037,0.00003804851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9443102,"threshold_uncertainty_score":0.4268051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04532790598113116,"score_gpt":0.2364089506043939,"score_spread":0.1910810446232628,"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."}}