{"id":"W4319166795","doi":"10.17182/hepdata.85615","title":"Search for heavy long-lived multi-charged particles in proton-proton collisions at $\\sqrt{s}$ = 13 TeV using the ATLAS detector","year":2018,"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":"H2020 Marie Skłodowska-Curie Actions; Royal Society; Centre National pour la Recherche Scientifique et Technique; European Social Fund; European Regional Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; British Columbia Knowledge Development Fund; Fundação para a Ciência e a Tecnologia; Institut National de Physique Nucléaire et de Physique des Particules; Agencia Nacional de Promoción Científica y Tecnológica; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Science and Technology Facilities Council; Bundesministerium für Bildung und Forschung; Ministry of Education, Culture, Sports, Science and Technology; Natural Sciences and Engineering Research Council of Canada; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; Israel Science Foundation; Comisión Nacional de Investigación Científica y Tecnológica; Türkiye Atom Enerjisi Kurumu; Joint Institute for Nuclear Research; Ministerstwo Edukacji i Nauki; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Austrian Science Fund; U.S. Department of Energy; National Natural Science Foundation of China; European Commission; Leverhulme Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; Javna Agencija za Raziskovalno Dejavnost RS; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Generalitat de Catalunya; Department of Science and Technology, Ministry of Science and Technology, India; General Secretariat for Research and Technology; National Science Foundation; Compute Canada; Alexander von Humboldt-Stiftung; TRIUMF; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Canarie; Centres de Recerca de Catalunya; CERN; Danmarks Grundforskningsfond","keywords":"Proton; Physics; Mathematics; Nuclear physics","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":[0.0006320556,0.001494945,0.001276204,0.002214972,0.0007099982,0.001400508,0.002541952,0.001347859,0.01235032],"category_scores_gemma":[0.002221934,0.0003345636,0.001141063,0.003503189,0.0003253248,0.0007725849,0.001290455,0.001181357,0.01591126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118671,"about_ca_system_score_gemma":0.00128918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0244478,"about_ca_topic_score_gemma":0.04765795,"domain_scores_codex":[0.9995769,0.00004432592,0.00004574921,0.00014446,0.0001055465,0.00008304772],"domain_scores_gemma":[0.9994379,0.0001281014,0.0001222526,0.0001134567,0.000128442,0.00006993253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004106523,0.0001097837,0.02404551,0.001541634,0.0002154998,0.0002828518,0.0000582391,0.00133692,0.0005771262,0.002030659,0.9618835,0.007507669],"study_design_scores_gemma":[0.000607339,0.00005701108,0.05494301,0.0004818807,0.0001737014,0.0004671354,0.0002039738,0.003190419,0.001622989,0.004461346,0.9337196,0.00007150825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00259915,0.0003332568,0.0001698691,0.0001340631,0.00002750281,0.00001898591,0.9950839,0.0003121684,0.001321151],"genre_scores_gemma":[0.002847532,0.0001505581,0.0004525135,0.00004957843,0.00001270138,0.0000518954,0.9957787,0.00003634306,0.0006202348],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0244478,"threshold_uncertainty_score":0.04861099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03149137786163347,"score_gpt":0.2971931561751074,"score_spread":0.2657017783134739,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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