{"id":"W2136715807","doi":"10.1103/physrevlett.99.071801","title":"Measurement of<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>C</mml:mi><mml:mi>P</mml:mi></mml:math>-Violating Asymmetries in<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msup><mml:mi>B</mml:mi><mml:mn>0</mml:mn></mml:msup><mml:mo>→</mml:mo><mml:msup><mml:mi>D</mml:mi><mml:mrow><mml:mo stretchy=\"false\">(</mml:mo><mml:mo>*</mml:mo><mml:mo stretchy=\"false\">)</mml:mo><mml:mo>±</mml:mo></mml:mrow></mml:msup><mml:msup><mml:mi>D</mml:mi><mml:mo>∓</mml:mo></mml:msup></mml:math>","year":2007,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Université de Montréal; McGill University; University of British Columbia","funders":"Science and Technology Facilities Council","keywords":"Physics; Asymmetry; Particle physics; Algorithm; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002706466,0.001266183,0.0008028062,0.001528792,0.001404434,0.002081989,0.001684971,0.002259112,0.04267061],"category_scores_gemma":[0.004677201,0.001065055,0.0008532404,0.00149979,0.0007711216,0.002278543,0.0018492,0.003395362,0.01036012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591859,"about_ca_system_score_gemma":0.0009179439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002506308,"about_ca_topic_score_gemma":0.0046456,"domain_scores_codex":[0.9976974,0.0003612581,0.00008986852,0.0005042062,0.000876108,0.0004711604],"domain_scores_gemma":[0.9967923,0.000644897,0.0006664787,0.0009743019,0.0006317373,0.0002903212],"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":[0.004049919,0.001069485,0.05654708,0.001247228,0.0006585818,0.001377221,0.001431534,0.006590087,0.5785252,0.1275674,0.09895118,0.121985],"study_design_scores_gemma":[0.0005825396,0.0008043816,0.08766703,0.0002612326,0.00033882,0.00109683,0.0006728132,0.02881001,0.777666,0.01389237,0.08779722,0.000410662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4885845,0.001450776,0.08307617,0.002553771,0.001298047,0.0004023026,0.03326222,0.007294808,0.3820774],"genre_scores_gemma":[0.9706513,0.0002210986,0.01033548,0.0005587176,0.0000687514,0.0001820898,0.006448912,0.001098342,0.01043534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04267061,"threshold_uncertainty_score":0.1427474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013259439066288,"score_gpt":0.2588753617228705,"score_spread":0.2387427673322076,"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."}}