{"id":"W1490314205","doi":"10.1088/1126-6708/2009/06/074","title":"Leading proton production in deep inelastic scattering at HERA","year":2009,"lang":"en","type":"article","venue":"Journal of High Energy Physics","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":219,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Argonne National Laboratory; Deutsches Elektronen-Synchrotron; Science and Technology Facilities Council; Lomonosov Moscow State University; National Research Nuclear University MEPhI; Nuclear Physics; Rheinische Friedrich-Wilhelms-Universität Bonn; University of Bristol; Universidad Autónoma de Madrid; Kyungpook National University; High Energy Physics; McGill University","keywords":"HERA; ZEUS (particle detector); Physics; Nuclear physics; Proton; Deep inelastic scattering; Luminosity; Spectrometer; Particle physics; Scaling; Photon; Scattering; Inelastic scattering; Quantum chromodynamics; Optics","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":[0.002356503,0.001886026,0.001617952,0.004321441,0.003425373,0.00468579,0.001239989,0.001610511,0.01087345],"category_scores_gemma":[0.00321005,0.001828579,0.001264141,0.003517694,0.001165418,0.002365642,0.004237758,0.001298778,0.002093582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638872,"about_ca_system_score_gemma":0.0007338001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001895814,"about_ca_topic_score_gemma":0.002971678,"domain_scores_codex":[0.9990764,0.0002389486,0.00004526185,0.0001518197,0.0002130944,0.000274575],"domain_scores_gemma":[0.9974301,0.001445402,0.0002878323,0.0001841666,0.0002110202,0.0004413832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01744406,0.001867446,0.142386,0.003998718,0.001310032,0.02270362,0.006661579,0.07944743,0.1734987,0.4152791,0.01438075,0.1210226],"study_design_scores_gemma":[0.002064295,0.001649704,0.1379652,0.0005620663,0.0009742191,0.007362714,0.003531803,0.2169544,0.1243043,0.492431,0.01120959,0.0009906258],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8914184,0.003830292,0.01228133,0.001667091,0.0003297262,0.00008614071,0.002007477,0.001539421,0.08684013],"genre_scores_gemma":[0.9916307,0.0004759586,0.0008226659,0.0001361365,0.00005236591,0.00002746079,0.0005485773,0.00009752703,0.006208541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01087345,"threshold_uncertainty_score":0.03637528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009426965935864002,"score_gpt":0.243519105277936,"score_spread":0.234092139342072,"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."}}