{"id":"W2952538218","doi":"10.48550/arxiv.1603.09628","title":"Combined QCD and electroweak analysis of HERA data","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsches Elektronen-Synchrotron; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Nuclear Physics; Strong; Bundesministerium für Bildung und Forschung; Ministry of Education, Culture, Sports, Science and Technology; Deutsche Forschungsgemeinschaft","keywords":"Electroweak interaction; Particle physics; Physics; HERA; Parton; Neutral current; Quantum chromodynamics; ZEUS (particle detector); Nuclear physics; Quark; Charged current; Vector boson; Deep inelastic scattering; Technicolor; Standard Model (mathematical formulation); Boson; Scattering; Gauge boson; Inelastic scattering; Gauge (firearms); Gauge theory; Quantum mechanics","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":[0.001753962,0.0007867399,0.0009061408,0.003407752,0.0005906398,0.001582191,0.0006728246,0.0003750862,0.003701807],"category_scores_gemma":[0.003123657,0.0003693857,0.00101331,0.004777233,0.0002220818,0.0006521157,0.001496222,0.0006379873,0.001194219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001009392,"about_ca_system_score_gemma":0.0006368133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006765507,"about_ca_topic_score_gemma":0.005806505,"domain_scores_codex":[0.998584,0.0004040128,0.00006655175,0.0002623869,0.0005220821,0.0001609658],"domain_scores_gemma":[0.9980608,0.0006725236,0.0001937967,0.0004818085,0.0004463349,0.0001448048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002148379,0.0005530068,0.3005124,0.0005535908,0.001272781,0.004440215,0.0006807524,0.3822485,0.09019955,0.02533581,0.01205988,0.1799951],"study_design_scores_gemma":[0.0002476001,0.0002613927,0.2704668,0.0000688745,0.0001985356,0.001107855,0.0003629841,0.6440206,0.03874221,0.02233999,0.02189482,0.0002882681],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9331419,0.000678555,0.0264957,0.0003602649,0.00005485594,0.0000883132,0.02186482,0.002301188,0.01501436],"genre_scores_gemma":[0.9783937,0.0001826576,0.008757184,0.00006280019,0.00002744144,0.00006301994,0.009864378,0.0002157772,0.00243295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006765507,"threshold_uncertainty_score":0.01345229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05990126019912811,"score_gpt":0.2133535740014786,"score_spread":0.1534523138023505,"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."}}