{"id":"W2096976134","doi":"10.1103/physrevd.83.032008","title":"Measurement of the<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msup><mml:mi>B</mml:mi><mml:mo>−</mml:mo></mml:msup></mml:math>lifetime using a simulation free approach for trigger bias correction","year":2011,"lang":"lv","type":"article","venue":"Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Fermilab; Istituto Nazionale di Fisica Nucleare; Academy of Finland; Russian Foundation for Basic Research; Natural Sciences and Engineering Research Council of Canada; National Science Council; Alfred P. Sloan Foundation; Science and Technology Facilities Council; National Research Foundation; Centre National de la Recherche Scientifique; National Science Foundation; Royal Society; National Research Foundation of Korea; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy","keywords":"Monte Carlo method; Detector; Systematic error; Measurement uncertainty; Mode (computer interface); Observational error; Selection (genetic algorithm)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001591471,0.0005266452,0.000424175,0.001880388,0.0004651223,0.001328304,0.0008229806,0.0007401634,0.003420415],"category_scores_gemma":[0.004956217,0.0003877799,0.0003628064,0.001211733,0.0004062511,0.001534478,0.0007681198,0.0006199421,0.001810316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009186373,"about_ca_system_score_gemma":0.0005776968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432028,"about_ca_topic_score_gemma":0.001867175,"domain_scores_codex":[0.9989812,0.0001889046,0.00006102177,0.0002658325,0.0004108128,0.00009225821],"domain_scores_gemma":[0.997716,0.000864335,0.0004043219,0.0005340589,0.000415108,0.00006631088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001567996,0.0004890514,0.09226429,0.0007204447,0.0004759646,0.0004900192,0.0007592537,0.05580587,0.448465,0.09024284,0.01133201,0.2973872],"study_design_scores_gemma":[0.00007777307,0.000469829,0.0369211,0.000104029,0.000138022,0.001228808,0.0001846831,0.164697,0.7442195,0.01710253,0.03453827,0.0003184578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1625277,0.0009270337,0.8068459,0.0002560527,0.0001618377,0.0001069316,0.004243543,0.006766791,0.01816432],"genre_scores_gemma":[0.7506518,0.0007717398,0.2385264,0.0001785551,0.0000466769,0.0001778743,0.00415827,0.001056741,0.004431889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003420415,"threshold_uncertainty_score":0.01144242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03825926543411782,"score_gpt":0.3012623401600317,"score_spread":0.2630030747259139,"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."}}