{"id":"W6992701839","doi":"","title":"Measurement of D0-D&lt;sup&gt;Ì&lt;/sup&gt;0 mixing parameters using D0âKS0Ï&lt;sup&gt;+&lt;/sup&gt;Ï&lt;sup&gt;-&lt;/sup&gt;and D0âKS0K&lt;sup&gt;+&lt;/sup&gt;K&lt;sup&gt;-&lt;/sup&gt;decays","year":2010,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de Physique Nucléaire et de Physique des Particules; Centre National de la Recherche Scientifique; Bundesministerium für Bildung und Forschung; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; European Commission; Alfred P. Sloan Foundation; Deutsche Forschungsgemeinschaft; U.S. Department of Energy; National Science Foundation","keywords":"Mixing (physics); Collider; Pion; Measure (data warehouse); Detector; Amplitude; Meson","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":[0.0004809301,0.0003875188,0.0001214303,0.0009879378,0.0002570206,0.0005809889,0.0002610096,0.0002150017,0.001342776],"category_scores_gemma":[0.0005860212,0.0002174129,0.0001581793,0.0005856396,0.0002238466,0.0003593031,0.000482998,0.0002516315,0.0004744663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002274158,"about_ca_system_score_gemma":0.000160506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000686124,"about_ca_topic_score_gemma":0.0008148394,"domain_scores_codex":[0.999819,0.00003031929,0.00001091966,0.00005813117,0.00005322312,0.00002839739],"domain_scores_gemma":[0.9996793,0.00008928846,0.0001015064,0.00003374652,0.00005283949,0.00004338333],"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":[0.001489658,0.0001414188,0.1170339,0.00009008459,0.00006627975,0.0002413466,0.0001584735,0.002885129,0.8564504,0.003263877,0.0003429921,0.01783644],"study_design_scores_gemma":[0.00007804346,0.0006613809,0.1114196,0.00001300714,0.00007735892,0.0005746867,0.0001363404,0.02096238,0.8591582,0.001362622,0.005475839,0.00008061334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891464,0.0001765636,0.00655981,0.00002865651,0.000008375593,0.00001213062,0.0007010853,0.0001135674,0.00325351],"genre_scores_gemma":[0.9945707,0.0001065935,0.003899715,0.00001429078,0.000004519951,0.00001238614,0.0006756323,0.00002133589,0.0006949104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001342776,"threshold_uncertainty_score":0.004492044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033397767150602,"score_gpt":0.2295001026101492,"score_spread":0.2091661249386432,"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."}}