{"id":"W2463627674","doi":"10.1103/physrevd.94.032012","title":"Search for the rare decay<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msup><mml:mi>K</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:mo stretchy=\"false\">→</mml:mo><mml:msup><mml:mi>μ</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:mi>ν</mml:mi><mml:mover accent=\"true\"><mml:mi>ν</mml:mi><mml:mo stretchy=\"false\">¯</mml:mo></mml:mover><mml:mi>ν</mml:mi></mml:math>","year":2016,"lang":"lv","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of British Columbia; TRIUMF","funders":"Natural Sciences and Engineering Research Council of Canada; Russian Science Foundation; Tsinghua University; National Research Council Canada; National Natural Science Foundation of China; Ministry of Education, Culture, Sports, Science and Technology; High Energy Physics; U.S. Department of Energy","keywords":"Limit (mathematics); Sample (material); Data set; Process (computing); Confidence interval; Set (abstract data type)","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":[0.001440235,0.001178456,0.0010747,0.003103461,0.002706709,0.001196995,0.001824862,0.002574503,0.03815749],"category_scores_gemma":[0.002250948,0.0007743318,0.00145986,0.002970736,0.0004377357,0.001202727,0.001310748,0.00202514,0.01050193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016887,"about_ca_system_score_gemma":0.001642762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003435855,"about_ca_topic_score_gemma":0.009219439,"domain_scores_codex":[0.9993067,0.00006366242,0.00005115722,0.0002399233,0.0001879876,0.0001506603],"domain_scores_gemma":[0.9987263,0.000573751,0.0002006865,0.0001919666,0.0001857929,0.000121411],"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":[0.004780059,0.0005064307,0.04287786,0.003633931,0.0007282588,0.01889867,0.00254437,0.002798908,0.6255811,0.04305471,0.1533708,0.101225],"study_design_scores_gemma":[0.0008968951,0.001468761,0.03731862,0.0004656024,0.001031102,0.008942535,0.001805167,0.02113462,0.4895493,0.009714514,0.4273524,0.0003204583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7117691,0.003454986,0.07417423,0.002801337,0.0007373539,0.0006229985,0.05493293,0.01316599,0.1383412],"genre_scores_gemma":[0.8193612,0.001505775,0.07683814,0.001340066,0.0001350066,0.0006193621,0.0519451,0.003866862,0.04438838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03815749,"threshold_uncertainty_score":0.1276495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117641568740295,"score_gpt":0.3146541746386578,"score_spread":0.2934777589512548,"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."}}