{"id":"W6983370868","doi":"","title":"Measurement of sigma B-chi c2(chi(c2)-&gt; J/psi gamma)/sigma B-chi\\n c1(chi(c1)-&gt; J/psi gamma) in p(p)over-bar collisions at root s=1.96 TeV","year":2007,"lang":"en","type":"article","venue":"Purdue e-Pubs (Purdue University System)","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Istituto Nazionale di Fisica Nucleare; Centre National de la Recherche Scientifique; National Science Council; Alfred P. Sloan Foundation; Fermilab; 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":"Sigma; Measure (data warehouse); Range (aeronautics); Branching fraction; Bar (unit); Kinematics","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":[0.000855526,0.0008048798,0.000261204,0.001039536,0.0004321327,0.0009058723,0.000623727,0.0008196024,0.002760313],"category_scores_gemma":[0.001349507,0.0005087953,0.0002797255,0.0007364047,0.0005590887,0.0004437236,0.0005782592,0.0005542788,0.0007497512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005633502,"about_ca_system_score_gemma":0.0001826755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0014641,"about_ca_topic_score_gemma":0.002696107,"domain_scores_codex":[0.9994185,0.00005403945,0.00001235324,0.0002931714,0.000145235,0.0000766361],"domain_scores_gemma":[0.9990485,0.0002801053,0.0003263477,0.000110919,0.0001149551,0.0001191273],"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":[0.002053994,0.0002429866,0.2483669,0.0001962786,0.0002373809,0.001088484,0.0003115713,0.004780389,0.7200971,0.002942559,0.001221721,0.01846065],"study_design_scores_gemma":[0.0001086915,0.0008156594,0.3725364,0.00002011445,0.0001471023,0.00296345,0.000175316,0.01560909,0.6039394,0.001369086,0.00221589,0.000099748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893166,0.0003321124,0.004903135,0.00005750453,0.00001417224,0.00001477165,0.000633055,0.0003923176,0.00433645],"genre_scores_gemma":[0.9971142,0.0000899274,0.001314558,0.00002364165,0.000007180843,0.000007999915,0.0005835691,0.00002829878,0.0008305861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002760313,"threshold_uncertainty_score":0.00923419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523401714026646,"score_gpt":0.2347129889606119,"score_spread":0.2194789718203454,"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."}}