{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005166479,0.0004347662,0.0002159196,0.0006651059,0.0004807191,0.0007516297,0.0003986389,0.0003681949,0.001121079],"category_scores_gemma":[0.0006248769,0.000323401,0.0001850319,0.000686598,0.0001977582,0.0004123808,0.0004876683,0.0001662618,0.0002405858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002099481,"about_ca_system_score_gemma":0.0001704622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223995,"about_ca_topic_score_gemma":0.002110494,"domain_scores_codex":[0.999818,0.00004048137,0.000006616473,0.00005209955,0.00004606407,0.00003672968],"domain_scores_gemma":[0.999587,0.0001424531,0.0001448757,0.00003131577,0.00003017021,0.00006415366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002697515,0.0004527082,0.6981713,0.00009714987,0.0002964833,0.004870317,0.0003640451,0.008280798,0.2534335,0.006286517,0.001395669,0.02365404],"study_design_scores_gemma":[0.0006595303,0.002660261,0.4658045,0.00002913417,0.0002905292,0.006478362,0.0006399636,0.2378136,0.2741857,0.00794975,0.003387749,0.000100883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976619,0.00003004499,0.001097295,0.00001697485,0.000001079222,0.00000604901,0.00008836247,0.00005137575,0.00104698],"genre_scores_gemma":[0.9980203,0.00001829262,0.001568511,0.00001085733,0.000001938395,0.000003561074,0.0002017091,0.000003883827,0.0001710163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001223995,"threshold_uncertainty_score":0.003750384,"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."}}