{"id":"W1915163963","doi":"10.1103/physrevlett.90.011801","title":"Consistent Resolution of Possible Anomalies 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:mi>ϕ</mml:mi><mml:msub><mml:mi>K</mml:mi><mml:mi>S</mml:mi></mml:msub></mml:math>and<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:mo>→</mml:mo><mml:msup><mml:mi>η</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>K</mml:mi><mml:mo>+</mml:mo></mml:msup></mml:math>Decays","year":2003,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Resolution (logic); Physics; Computer science; Artificial intelligence","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":[0.007270039,0.002318609,0.002234198,0.004742874,0.004097381,0.01189822,0.005931401,0.005801435,0.06052051],"category_scores_gemma":[0.03546613,0.002424843,0.002773853,0.004759844,0.002043336,0.01469214,0.008966222,0.008048352,0.05070155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003748484,"about_ca_system_score_gemma":0.007374114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01821051,"about_ca_topic_score_gemma":0.02781779,"domain_scores_codex":[0.989904,0.002226346,0.001069974,0.001834734,0.004084711,0.0008801495],"domain_scores_gemma":[0.9841823,0.00340326,0.000814595,0.005297141,0.005863926,0.0004387422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007246844,0.0002517097,0.005933674,0.000950227,0.0001550423,0.001731655,0.00345001,0.007175457,0.01304522,0.2085904,0.521847,0.2361449],"study_design_scores_gemma":[0.0000449574,0.00002369712,0.001008594,0.0002776421,0.00006943291,0.0003688601,0.0007617997,0.0166872,0.01632601,0.05799359,0.9063269,0.0001113211],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008789628,0.001418458,0.7631928,0.01156887,0.005296695,0.0006293149,0.03195345,0.05998328,0.1171676],"genre_scores_gemma":[0.1221497,0.002332259,0.6360631,0.005999212,0.0009315246,0.001071346,0.05969157,0.04233643,0.129425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06052051,"threshold_uncertainty_score":0.2024613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01839012465135078,"score_gpt":0.2530559462754475,"score_spread":0.2346658216240967,"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."}}