{"id":"W7067520692","doi":"","title":"Measurement of the absolute branching fractions for Ds-ââ&lt;sup&gt;-&lt;/sup&gt;Î½&lt;inf&gt;Ìâ&lt;/inf&gt;and extraction of the decay constant fD&lt;inf&gt;s&lt;/inf&gt;","year":2010,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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; 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":"Branching fraction; Branching (polymer chemistry); Meson; Pion; Luminosity; Detector; Particle decay","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":[0.001359892,0.0005573159,0.0003417929,0.002282677,0.0003937936,0.0008139221,0.0005689925,0.0003779776,0.004965938],"category_scores_gemma":[0.002296771,0.0004374443,0.0003086366,0.001993359,0.0004547802,0.0006827817,0.0004640513,0.0006586206,0.0009415734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006720959,"about_ca_system_score_gemma":0.000319926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009490995,"about_ca_topic_score_gemma":0.001961685,"domain_scores_codex":[0.9994734,0.00006595514,0.00002928897,0.0001944341,0.0001605212,0.00007648485],"domain_scores_gemma":[0.9985272,0.0005841554,0.0003229463,0.0002111887,0.0002244221,0.0001301591],"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":[0.002406105,0.0005224621,0.3748206,0.0003286155,0.0003474743,0.0005313313,0.0006564615,0.008541426,0.4597437,0.043091,0.003290011,0.1057208],"study_design_scores_gemma":[0.00006718124,0.0004756167,0.3190973,0.00003821751,0.000152277,0.001951212,0.0001836961,0.02502998,0.6265536,0.009834648,0.01649773,0.0001184829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510117,0.0006195164,0.03160257,0.00008872378,0.00002278769,0.00003585339,0.004582925,0.0003928507,0.01164305],"genre_scores_gemma":[0.9791321,0.0003318551,0.01142867,0.00003346677,0.00001329331,0.00006152088,0.00596594,0.00008557995,0.00294774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004965938,"threshold_uncertainty_score":0.01661271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02588549772853702,"score_gpt":0.2035185679922326,"score_spread":0.1776330702636956,"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."}}