{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00133712,0.0005376941,0.0005313298,0.001903165,0.001008442,0.001027561,0.0005367707,0.0006869933,0.004565176],"category_scores_gemma":[0.001295118,0.0003600895,0.0003348773,0.001428684,0.0002536534,0.000477843,0.0006531311,0.0004612527,0.001838285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002309282,"about_ca_system_score_gemma":0.0004486925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005992514,"about_ca_topic_score_gemma":0.0009363078,"domain_scores_codex":[0.9994319,0.00009124087,0.00003546672,0.0001951312,0.0001347842,0.0001114515],"domain_scores_gemma":[0.9986443,0.0005405023,0.0002392981,0.00008433311,0.0001827895,0.00030882],"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":[0.003776566,0.0008997336,0.3258952,0.0005439629,0.0003586369,0.001903512,0.0007524528,0.002022498,0.5796846,0.01084138,0.004513283,0.06880816],"study_design_scores_gemma":[0.000405232,0.003263855,0.3120126,0.0001644482,0.0005461763,0.009531514,0.001303995,0.02756626,0.5818347,0.009571446,0.05358364,0.0002160658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830205,0.001560247,0.006866097,0.0001560247,0.00001671706,0.0000329415,0.001375729,0.0002976021,0.006673875],"genre_scores_gemma":[0.9849245,0.0005444165,0.007389251,0.0001321705,0.00002472375,0.00003732452,0.003973437,0.00003998452,0.002934167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004565176,"threshold_uncertainty_score":0.01527202,"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."}}