{"id":"W1995656029","doi":"10.1063/1.3680607","title":"Numerical Feynman integrals with physically inspired interpolation: Faster convergence and significant reduction of computational cost","year":2012,"lang":"en","type":"article","venue":"AIP Advances","topic":"Quantum, superfluid, helium dynamics","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Clarendon Fund; Natural Sciences and Engineering Research Council of Canada","keywords":"Operator (biology); Interpolation (computer graphics); Discretization; Feynman diagram; Mathematics; Convergence (economics); Reduction (mathematics); Applied mathematics; Computer science; Mathematical analysis; Geometry; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001551411,0.000629183,0.0008689604,0.0007665619,0.0004934126,0.0008140249,0.001248226,0.001009503,0.003423688],"category_scores_gemma":[0.00538423,0.0003253468,0.0005368482,0.001112577,0.000765942,0.001644019,0.001187222,0.001465741,0.001014865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006626784,"about_ca_system_score_gemma":0.0009197508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002649085,"about_ca_topic_score_gemma":0.002721802,"domain_scores_codex":[0.9993352,0.0001774821,0.00002416874,0.00004995634,0.0003604741,0.00005267401],"domain_scores_gemma":[0.9984164,0.0008864634,0.00009155188,0.0003599332,0.0002010082,0.00004463226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004615209,0.0002884179,0.001417059,0.0003621824,0.00007971912,0.0002459405,0.0004087813,0.4902009,0.03145962,0.1951545,0.003596137,0.2763251],"study_design_scores_gemma":[0.00002676375,0.00001650264,0.0001349774,0.0000128824,0.000004541459,0.00003296153,0.00001247658,0.9828522,0.003260654,0.01122452,0.002411243,0.00001032612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02988416,0.0005030591,0.958124,0.0002473794,0.0001173734,0.00005305608,0.00004479293,0.001447699,0.00957838],"genre_scores_gemma":[0.1768057,0.0002577851,0.8191172,0.00005916139,0.00005071367,0.0001241042,0.00008868922,0.0004394823,0.003057116],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003423688,"threshold_uncertainty_score":0.01145339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009566150569815388,"score_gpt":0.2544462870350659,"score_spread":0.2448801364652506,"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."}}