{"id":"W2899384969","doi":"10.1103/physrevlett.122.241604","title":"Bootstrapping QCD Using Pion Scattering Amplitudes","year":2019,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Chromodynamics and Particle Interactions","field":"Physics and Astronomy","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation; Government of Canada; Institut Périmètre de physique théorique; National Centres of Competence in Research SwissMAP; Simons Foundation; Fundação de Amparo à Pesquisa do Estado de São Paulo; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Physics; Pion; Scattering; Scattering amplitude; Quantum chromodynamics; Scattering length; Chiral symmetry; Amplitude; Crossing; Formalism (music); Particle physics; Chiral anomaly; Bootstrap model; S-matrix; Quantum electrodynamics; Theoretical physics; Quantum mechanics; Meson","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006584796,0.0001445213,0.0002622547,0.00002301184,0.00006606449,0.00005154873,0.0001192365,0.000003873995,0.0003515685],"category_scores_gemma":[0.000002074859,0.000132221,0.000203884,0.0001257956,0.00002663301,0.0001964345,0.00004262495,0.0001536078,0.0004097057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003177032,"about_ca_system_score_gemma":0.00001148708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008580573,"about_ca_topic_score_gemma":3.077169e-7,"domain_scores_codex":[0.9991594,0.00003578296,0.0001985906,0.0002310067,0.0001276302,0.0002476226],"domain_scores_gemma":[0.9995106,0.00006157777,0.00009479245,0.0002481241,0.00001974842,0.0000651422],"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":[0.000004037517,0.0001946827,0.01505498,0.0006754345,0.0001242193,0.000001603157,0.000103879,0.004165586,0.9665659,0.01024867,0.000350563,0.002510426],"study_design_scores_gemma":[0.00141178,0.0001451989,0.02082878,0.01636231,0.0005897749,0.00001628321,0.000173621,0.9088934,0.01077375,0.008210382,0.03003788,0.002556847],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893116,0.0001963665,0.008073068,0.001129857,0.0001599888,0.0002327272,0.00000672921,0.0000245962,0.0008650755],"genre_scores_gemma":[0.997725,0.00002841002,0.00008231038,0.001838446,0.00027025,0.00001595316,0.00001171754,0.00001859564,0.000009386325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9557922,"threshold_uncertainty_score":0.5391814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02438298388305877,"score_gpt":0.3263133866810937,"score_spread":0.3019304027980349,"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."}}