{"id":"W1971591982","doi":"10.1140/epjc/s10052-010-1251-4","title":"Quest for precision in hadronic cross sections at low energy: Monte Carlo tools vs. experimental data","year":2010,"lang":"en","type":"article","venue":"The European Physical Journal C","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":362,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Nuclear Physics; High Energy Physics; Bundesministerium für Bildung und Forschung; Ministerio de Ciencia e Innovación; Centre National de la Recherche Scientifique; Japan Society for the Promotion of Science; Russian Foundation for Basic Research; Science and Technology Facilities Council; Institute of High Energy Physics; U.S. Department of Energy; European Commission; Fundacja na rzecz Nauki Polskiej; National Natural Science Foundation of China; Institut National de Physique Nucléaire et de Physique des Particules; Generalitat Valenciana; Deutsche Forschungsgemeinschaft","keywords":"Physics; Hadron; Monte Carlo method; Radiative transfer; Nuclear physics; Cross section (physics); Particle physics; Energy (signal processing); Statistics; Optics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02439845,0.001891294,0.002571382,0.004432096,0.001777353,0.007887322,0.005300017,0.004081924,0.003526529],"category_scores_gemma":[0.1005303,0.002223019,0.001497765,0.002497116,0.007272972,0.01238965,0.003057383,0.004984468,0.000755103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002284433,"about_ca_system_score_gemma":0.002325366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001663499,"about_ca_topic_score_gemma":0.001200967,"domain_scores_codex":[0.9914101,0.00380078,0.0004843966,0.001172605,0.002721239,0.0004108708],"domain_scores_gemma":[0.8722834,0.09532452,0.007496846,0.01975796,0.004095091,0.001042198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00049262,0.000151095,0.007624907,0.0006110676,0.0003562399,0.0001768981,0.0003963591,0.07159016,0.002070794,0.8927088,0.001493296,0.02232771],"study_design_scores_gemma":[0.0001091359,0.00005071875,0.0009894532,0.0001270263,0.00006636955,0.00011247,0.00004180513,0.08070199,0.003225083,0.9133827,0.001112996,0.00008031567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2949058,0.01042081,0.6401381,0.01736464,0.0006332576,0.0000952274,0.001120907,0.002163473,0.03315773],"genre_scores_gemma":[0.9630275,0.001669311,0.03244651,0.000895024,0.0004553962,0.0000688913,0.0002911154,0.000272096,0.0008742174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02439845,"threshold_uncertainty_score":0.1290329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0278150592465157,"score_gpt":0.3159188775385749,"score_spread":0.2881038182920592,"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."}}