{"id":"W7061917741","doi":"","title":"Search for the Rare Decays [Formula presented] and [Formula presented]","year":2002,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de Physique Nucléaire et de Physique des Particules; Institute of High Energy Physics; Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; SLAC National Accelerator Laboratory; Alexander von Humboldt-Stiftung; Bundesministerium für Bildung und Forschung; Alfred P. Sloan Foundation; U.S. Department of Energy; National Science Foundation","keywords":"Branching fraction; Detector; Particle decay; Standard Model (mathematical formulation); Branching (polymer chemistry); Electron–positron annihilation","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":[0.0008592108,0.0007727985,0.0005646955,0.00171021,0.001008329,0.001101425,0.001064089,0.0007429502,0.007150347],"category_scores_gemma":[0.001570827,0.0002592843,0.0004119217,0.001482508,0.0003632026,0.0005995844,0.000580773,0.0005723651,0.001806183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002222154,"about_ca_system_score_gemma":0.0003538582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000670905,"about_ca_topic_score_gemma":0.001310543,"domain_scores_codex":[0.9994968,0.00006825497,0.00002773808,0.0001515037,0.0001439171,0.000111659],"domain_scores_gemma":[0.9987453,0.0004715352,0.0003136429,0.0002074964,0.0001466706,0.0001153211],"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":[0.004397403,0.001060744,0.2417091,0.0009053056,0.0005962338,0.005494002,0.0004551928,0.005117858,0.4577236,0.03617803,0.009232106,0.2371303],"study_design_scores_gemma":[0.0004346712,0.001123967,0.1010116,0.0001300979,0.0008428218,0.01439059,0.0004489412,0.04518732,0.7602664,0.0277575,0.04817493,0.0002311577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648387,0.00163709,0.01695406,0.0004120252,0.00003865596,0.00002711915,0.001602352,0.0006285537,0.01386151],"genre_scores_gemma":[0.9773671,0.000603443,0.01601785,0.0001515439,0.00005170845,0.00001498941,0.003729901,0.00007459763,0.001988804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007150347,"threshold_uncertainty_score":0.0239203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087507076565719,"score_gpt":0.2206467608146536,"score_spread":0.1997716900489964,"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."}}