{"id":"W7052246020","doi":"","title":"Search for B+â Ï+ and B0â Ï0 decays","year":2006,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"SLAC National Accelerator Laboratory; Institut National de Physique Nucléaire et de Physique des Particules; U.S. Department of Energy; European Commission; Institute of High Energy Physics; Centre National de la Recherche Scientifique; Bundesministerium für Bildung und Forschung; Alfred P. Sloan Foundation; Natural Sciences and Engineering Research Council of Canada; Alexander von Humboldt-Stiftung; Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"Detector; Branching fraction; Resonance (particle physics); Sample (material); Electron–positron annihilation; Branching (polymer chemistry)","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":[],"consensus_categories":[],"category_scores_codex":[0.00004885707,0.0001608969,0.0001301829,0.00007783696,0.00009453471,0.0007250634,0.000163519,0.00008513403,0.00002582605],"category_scores_gemma":[0.00002754627,0.0001625437,0.00005749983,0.0001763758,0.0000421583,0.0008622087,0.00005941663,0.0001540846,0.0004102735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001246994,"about_ca_system_score_gemma":0.0000164644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001151532,"about_ca_topic_score_gemma":8.346e-7,"domain_scores_codex":[0.99917,0.000005356728,0.0001994008,0.0002016674,0.0001104254,0.0003131552],"domain_scores_gemma":[0.9994118,0.0002426264,0.00001457682,0.0001707341,0.00001649366,0.0001437787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009489726,0.0005661723,0.3506357,0.0007894127,0.0001890068,0.00005015791,0.00003715608,0.007797276,0.008682136,0.4066381,0.1532903,0.07122974],"study_design_scores_gemma":[0.0007066036,0.00004172511,0.01275344,0.0000465625,0.00001949607,0.00001316148,0.000008264909,0.01114985,0.08106408,0.0500868,0.8435363,0.0005737755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582907,0.0002366178,0.00294181,0.0004152796,0.00004847854,0.0003370098,0.005026478,0.0005453174,0.03215832],"genre_scores_gemma":[0.9951673,0.0000286412,0.003384329,0.00007953424,0.0001478136,0.00008516922,0.0007373139,0.00007299777,0.0002968705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6902459,"threshold_uncertainty_score":0.6991803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044162438018985,"score_gpt":0.2002579259792348,"score_spread":0.1898163015990449,"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."}}