{"id":"W7033839924","doi":"","title":"Search for Supersymmetry in p (p)over-bar Collisions at root s=1.96 TeV Using the Trilepton Signature for Chargino-Neutralino Production","year":2008,"lang":"en","type":"article","venue":"Purdue e-Pubs (Purdue University System)","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Istituto Nazionale di Fisica Nucleare; National Science Council; Alfred P. Sloan Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Ministry of Education, Culture, Sports, Science and Technology; National Science Foundation","keywords":"Chargino; Tevatron; Supersymmetry; Production (economics); Signature (topology); Standard Model (mathematical formulation); Luminosity; Gluino; Lepton","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001141362,0.0004755239,0.0006992765,0.0007168084,0.001056909,0.00005819337,0.0005843081,0.0004747391,0.00002001979],"category_scores_gemma":[0.00009593427,0.000461954,0.0004583294,0.00116543,0.0001461259,0.0005369378,0.0001073381,0.0005061447,0.00003416437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002905586,"about_ca_system_score_gemma":0.00022329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004265795,"about_ca_topic_score_gemma":0.0003009456,"domain_scores_codex":[0.996987,0.0002659283,0.0005041247,0.000741439,0.0005215553,0.0009799543],"domain_scores_gemma":[0.9981306,0.0004401525,0.0001223498,0.0007565938,0.0003228364,0.000227469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003336693,0.0006874396,0.164524,0.01475333,0.001527055,0.0004860448,0.01860567,0.5632062,0.147062,0.006909479,0.0785047,0.0003973909],"study_design_scores_gemma":[0.02151766,0.000937623,0.01717238,0.003672448,0.0009504508,0.001137563,0.03629026,0.3125452,0.298225,0.00001657792,0.3027874,0.004747473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853907,0.0006635676,0.004332135,0.0002830884,0.002768273,0.004917119,0.0006098328,0.0004079645,0.000627296],"genre_scores_gemma":[0.9959617,0.00002740111,0.0004925399,0.000009643793,0.0007720554,0.00005331805,0.0001928147,0.0001161199,0.002374364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.250661,"threshold_uncertainty_score":0.9997832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02216441062727818,"score_gpt":0.2159386131223654,"score_spread":0.1937742024950872,"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."}}