{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002678761,0.0002313772,0.0003720148,0.0000217292,0.001455974,0.00003094968,0.0003909646,0.0001514907,0.00007791724],"category_scores_gemma":[0.00002273946,0.0001166652,0.0001343374,0.0008286353,0.0001872742,0.0002146616,0.0001734289,0.0001904483,0.00007921216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005246676,"about_ca_system_score_gemma":0.00002516052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002809297,"about_ca_topic_score_gemma":0.005675937,"domain_scores_codex":[0.9981318,0.0001041174,0.0002402217,0.0006613226,0.0003142417,0.0005483273],"domain_scores_gemma":[0.9990739,0.000228682,0.0001123661,0.0001706843,0.0001942236,0.0002201053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002109703,0.002118033,0.8513489,0.000493173,0.0003667607,0.0002451299,0.001767591,0.001326052,0.0834495,0.02715612,0.02464653,0.004972549],"study_design_scores_gemma":[0.001931709,0.0007767224,0.7508706,0.0002640878,0.00009633482,0.000139577,0.004795462,0.0001869635,0.01342092,0.00001726221,0.2266544,0.0008459883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921102,0.00007443987,0.00002454478,0.004913815,0.0001398605,0.001510222,0.0003166051,0.0001380699,0.0007722712],"genre_scores_gemma":[0.9968548,0.00007819566,0.0001683201,0.00002209785,0.0002606068,0.00003980345,0.0001312543,0.000003677277,0.002441251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2020079,"threshold_uncertainty_score":0.999844,"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."}}