{"id":"W201997629","doi":"10.1103/physrevlett.102.221801","title":"Search for Gluino-Mediated Bottom Squark Production in<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>p</mml:mi><mml:mover accent=\"true\"><mml:mi>p</mml:mi><mml:mo>¯</mml:mo></mml:mover></mml:math>Collisions at<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msqrt><mml:mi>s</mml:mi></mml:msqrt><mml:mo>=</mml:mo><mml:mn>1.96</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>TeV</mml:mi></mml:math>","year":2009,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; TRIUMF; McGill University","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":"Gluino; Particle physics; Physics; Collider Detector at Fermilab; Luminosity; Supersymmetry; Collider; Top quark; Production (economics); Nuclear physics; Quark; Algorithm; Computer science; Astrophysics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006176782,0.0008566289,0.0007100973,0.001643208,0.0007101006,0.001334499,0.000672095,0.0006841743,0.0102974],"category_scores_gemma":[0.0005656804,0.0003904501,0.0006045777,0.002244668,0.0001752447,0.0004989107,0.0005119413,0.0003830016,0.002485132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000566507,"about_ca_system_score_gemma":0.0004928671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007070973,"about_ca_topic_score_gemma":0.01613132,"domain_scores_codex":[0.9996408,0.00005233645,0.0000167138,0.00008463539,0.00009463803,0.0001109011],"domain_scores_gemma":[0.9994605,0.0001827828,0.0001068228,0.00005944545,0.00008428267,0.0001061482],"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":[0.007228245,0.0007611411,0.4182399,0.0006504756,0.000905886,0.008795042,0.001058548,0.004362056,0.4867183,0.01019878,0.02036638,0.04071528],"study_design_scores_gemma":[0.0009163582,0.001449045,0.5152668,0.00006463607,0.0006001562,0.002953907,0.000800233,0.04598542,0.4060441,0.003765304,0.02196821,0.0001857973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694234,0.0003209216,0.004749608,0.0002098038,0.00002388794,0.0000709947,0.01512014,0.0009236475,0.009157558],"genre_scores_gemma":[0.9738231,0.0001088872,0.004001405,0.00009245567,0.0000203139,0.000036906,0.01791053,0.0001120878,0.003894157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0102974,"threshold_uncertainty_score":0.03444827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919038246531925,"score_gpt":0.2688359718352649,"score_spread":0.2496455893699457,"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."}}