{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009021268,0.0004306452,0.0004674987,0.001990999,0.0004820045,0.0008102464,0.0004602468,0.0003787399,0.001060541],"category_scores_gemma":[0.001461362,0.0003019175,0.0003890907,0.002195117,0.0003318125,0.000349625,0.0004625317,0.0002386543,0.0002980889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003518751,"about_ca_system_score_gemma":0.0003040243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00378009,"about_ca_topic_score_gemma":0.006850785,"domain_scores_codex":[0.9995351,0.00007331383,0.00004843558,0.0001585309,0.0001037826,0.00008095182],"domain_scores_gemma":[0.9986141,0.0005723084,0.0003344263,0.0001598284,0.0001593432,0.0001599852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003091477,0.0001387462,0.7785795,0.0001217083,0.0003709835,0.00259891,0.000362368,0.002508282,0.1938536,0.00100424,0.0005257878,0.01684451],"study_design_scores_gemma":[0.00009918452,0.0003728197,0.8590798,0.00001609938,0.0003552595,0.003799611,0.0002908593,0.01429003,0.118115,0.0009309308,0.002605841,0.00004454731],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969478,0.00007249774,0.001177936,0.0000164683,0.000001382698,0.00000758569,0.001311543,0.00005119567,0.0004136391],"genre_scores_gemma":[0.9929623,0.00004118782,0.0021033,0.00001377116,0.000005898304,0.000005809585,0.004608671,0.00001072336,0.0002482948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00378009,"threshold_uncertainty_score":0.007516205,"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."}}