{"id":"W7005865749","doi":"","title":"Search for chargino-neutralino production in p(p)over-bar collisions at root s=1.96 TeV with high-p(T) leptons","year":2008,"lang":"en","type":"article","venue":"Purdue e-Pubs (Purdue University System)","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fermilab; Science and Technology Facilities Council; Alfred P. Sloan Foundation; National Science Council; Natural Sciences and Engineering Research Council of Canada; Istituto Nazionale di Fisica Nucleare; Centre National de la Recherche Scientifique; U.S. Department of Energy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Russian Foundation for Basic Research; Ministry of Education, Culture, Sports, Science and Technology; National Science Foundation","keywords":"Chargino; Collider Detector at Fermilab; Fermilab; Standard Model (mathematical formulation); Collider; Lepton; Supersymmetry; Tevatron; Production (economics); Minimal Supersymmetric Standard Model","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":[0.0007372887,0.0005525308,0.0003906817,0.0008787626,0.0007588628,0.001077381,0.0005855848,0.0006495583,0.002793835],"category_scores_gemma":[0.0007110304,0.0004194551,0.0002607454,0.0008626386,0.0002951428,0.0004774807,0.0005970958,0.0003597181,0.0004506267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003075143,"about_ca_system_score_gemma":0.0001531947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005912452,"about_ca_topic_score_gemma":0.0007935163,"domain_scores_codex":[0.999752,0.00004402015,0.000007822555,0.00006974861,0.00006904319,0.00005737025],"domain_scores_gemma":[0.9993792,0.0002498611,0.0001804676,0.00003759685,0.00004389723,0.0001090476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004640898,0.0006371329,0.3858713,0.0001909809,0.0002918972,0.008843653,0.0006556741,0.004733163,0.5762323,0.004171222,0.0007852688,0.01294665],"study_design_scores_gemma":[0.0007126564,0.003330598,0.4278046,0.00003372568,0.0003757744,0.008768064,0.001003994,0.04308236,0.5057589,0.005698593,0.003304115,0.0001266324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984378,0.00004308387,0.0004405128,0.00002353188,0.000001552176,0.000004981601,0.00008304498,0.00002244276,0.0009430785],"genre_scores_gemma":[0.9988607,0.00003054498,0.0005838062,0.00001253569,0.000003398554,0.000003128751,0.0001713086,0.000003776356,0.0003306966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002793835,"threshold_uncertainty_score":0.009346366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405372240199975,"score_gpt":0.1985450484747829,"score_spread":0.1744913260727831,"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."}}