{"id":"W4310492965","doi":"10.17182/hepdata.79798","title":"Measurement of the cross section for inclusive isolated-photon production in $pp$ collisions at $\\sqrt s=13$ TeV using the ATLAS detector","year":2019,"lang":"en","type":"dataset","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Institut National de Physique Nucléaire et de Physique des Particules; Fundação para a Ciência e a Tecnologia; 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; Fondation Partager le Savoir; European Social Fund; Centre National pour la Recherche Scientifique et Technique; Shota Rustaveli National Science Foundation; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; European Regional Development Fund; British Columbia Knowledge Development Fund; Centre National de la Recherche Scientifique; Max-Planck-Gesellschaft; Israel Science Foundation; U.S. Department of Energy; Israeli Centers for Research Excellence; 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; Generalitat de Catalunya; Generalitat Valenciana; Fonds Québécois de la Recherche sur la Nature et les Technologies; Austrian Science Fund; Ontario Innovation Trust; 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; 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; Canarie; Centres de Recerca de Catalunya; CERN; Danmarks Grundforskningsfond","keywords":"Section (typography); Mathematics; Mathematics education; Computer science; Operating system","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":[0.001028799,0.0007291829,0.0004115789,0.001053275,0.0004501259,0.0006119095,0.0008121282,0.0006228995,0.006201806],"category_scores_gemma":[0.0005888498,0.0004317854,0.0005309704,0.001427097,0.0002427405,0.0003920771,0.0008051103,0.0003510017,0.001281367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009612394,"about_ca_system_score_gemma":0.0005196718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002467242,"about_ca_topic_score_gemma":0.004162536,"domain_scores_codex":[0.9993181,0.0001074228,0.00003038026,0.0002115871,0.0002285102,0.0001040015],"domain_scores_gemma":[0.9995029,0.000188815,0.0001265286,0.00005788535,0.00007181161,0.00005197888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006191751,0.0004376122,0.2004757,0.0009624989,0.001336432,0.002120986,0.0004080675,0.03349224,0.6906463,0.01348648,0.02043892,0.03000304],"study_design_scores_gemma":[0.000138703,0.0006138833,0.3585674,0.00005062644,0.0003180098,0.001701055,0.000129153,0.0350082,0.5892861,0.002905555,0.01112152,0.0001597815],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9291053,0.001827687,0.02657094,0.0002147546,0.00009958228,0.0000650819,0.01977751,0.001337216,0.02100196],"genre_scores_gemma":[0.9780758,0.0003392496,0.004294018,0.0001409377,0.00001368584,0.0000690351,0.01364055,0.0001391067,0.003287622],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.006201806,"threshold_uncertainty_score":0.02074713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196541003037739,"score_gpt":0.259902322652783,"score_spread":0.2402482223490091,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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