{"id":"W7051947711","doi":"","title":"Performance of UFO and LC Topo jet collections for the VBF di-Higgs production in the HH → bbbb channel in terms of response scale and resolution.","year":2023,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de Physique Nucléaire et de Physique des Particules; Centre National de la Recherche Scientifique; CERN; TRIUMF","keywords":"Jet (fluid); Large Hadron Collider; Scale (ratio); Higgs boson; Monte Carlo method; Line (geometry); Resolution (logic); Energy (signal processing)","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":[0.0023154,0.001078918,0.0004733825,0.00131034,0.000396084,0.001446984,0.0008168992,0.0007262419,0.002891669],"category_scores_gemma":[0.003441291,0.000454304,0.0009097332,0.001557244,0.0002598996,0.0007938702,0.001237318,0.0004504487,0.0009110694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005212441,"about_ca_system_score_gemma":0.0004702339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003250844,"about_ca_topic_score_gemma":0.003319352,"domain_scores_codex":[0.9989654,0.0001828653,0.00006374297,0.0002576909,0.0003360609,0.0001942688],"domain_scores_gemma":[0.9977634,0.001075103,0.0002127181,0.0003535752,0.0003556496,0.0002396707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.03539014,0.0009683606,0.2252728,0.00105472,0.002011008,0.002113246,0.001064557,0.1979459,0.1978147,0.003732007,0.01724394,0.3153887],"study_design_scores_gemma":[0.0005066897,0.001086217,0.2675848,0.00008146407,0.0004859668,0.001763816,0.0004421243,0.4705961,0.2461267,0.002141117,0.008802634,0.0003824695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9379523,0.0007843564,0.03204045,0.0001322192,0.00007267125,0.00009193605,0.007503564,0.01244707,0.008975507],"genre_scores_gemma":[0.9653071,0.0001402166,0.01575487,0.00008421708,0.00003418231,0.00004945252,0.01627791,0.001028748,0.001323362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003250844,"threshold_uncertainty_score":0.01224518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01833436350946149,"score_gpt":0.2576850624310498,"score_spread":0.2393506989215883,"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."}}