{"id":"W4309878255","doi":"10.17182/hepdata.69537","title":"Search for the electroweak production of supersymmetric particles in $\\sqrt{s}$=8 TeV $pp$ collisions with the ATLAS detector","year":2015,"lang":"en","type":"dataset","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Institut National de Physique Nucléaire et de Physique des Particules; Agencia Nacional de Promoción Científica y Tecnológica; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; H. Lundbeck A/S; Centre National pour la Recherche Scientifique et Technique; Georgian National Science Foundation; National Research Center \"Kurchatov Institute\"; Centre National de la Recherche Scientifique; Max-Planck-Gesellschaft; Israel Science Foundation; Israeli Centers for Research Excellence; Joint Institute for Nuclear Research; Japan Society for the Promotion of Science; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Lundbeckfonden; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Leverhulme Trust; General Secretariat for Research and Technology; Ministry of Education, Culture, Sports, Science and Technology; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Austrian Science Fund; Bundesministerium für Bildung und Forschung; National Science Council; U.S. Department of Energy; National Natural Science Foundation of China; Fundação de Amparo à Pesquisa do Estado de São Paulo; Javna Agencija za Raziskovalno Dejavnost RS; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Ministerstwo Edukacji i Nauki; CERN; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Deutsche Forschungsgemeinschaft; European Commission; Comisión Nacional de Investigación Científica y Tecnológica; Danmarks Grundforskningsfond; TRIUMF; Alexander von Humboldt-Stiftung; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Department of Science and Technology, Ministry of Science and Technology, India; National Science Foundation; Türkiye Atom Enerjisi Kurumu","keywords":"Electroweak interaction; Physics; Particle physics; Mathematics; Computer science","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":[0.0007420321,0.0008170918,0.0007322235,0.001849413,0.000405442,0.0009248983,0.001280396,0.000629834,0.004766496],"category_scores_gemma":[0.001846653,0.0002854951,0.0006614487,0.003435902,0.0002475268,0.0005102209,0.001103565,0.0006148879,0.003987859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008434324,"about_ca_system_score_gemma":0.0008971324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02130001,"about_ca_topic_score_gemma":0.03834752,"domain_scores_codex":[0.9995769,0.00006239885,0.00006091508,0.0001319767,0.00009543214,0.00007246052],"domain_scores_gemma":[0.9993343,0.000163243,0.0001766267,0.0001336002,0.0001195611,0.0000725818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00172742,0.0002549699,0.2464026,0.002978659,0.001013977,0.0007277048,0.0002541367,0.005661243,0.00405014,0.005584843,0.7101426,0.0212018],"study_design_scores_gemma":[0.0007011804,0.0001253203,0.4305914,0.0003731942,0.0003641931,0.0007769209,0.0005098499,0.005962278,0.005211987,0.003346548,0.5519189,0.0001181485],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02380877,0.0002459601,0.000251284,0.000106356,0.00001875023,0.00002251818,0.9738264,0.0001708605,0.001548978],"genre_scores_gemma":[0.01520546,0.000118837,0.0005326312,0.00003664671,0.000007883013,0.00003882065,0.9835814,0.0000217783,0.0004564515],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02130001,"threshold_uncertainty_score":0.04235208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153033714601444,"score_gpt":0.2545454216218477,"score_spread":0.2392420501617033,"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."}}