{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006101111,0.0001298901,0.0001846773,0.00003485657,0.00005557209,0.00001615505,0.00007308023,0.00001807791,0.00009205013],"category_scores_gemma":[0.000003628209,0.0001050071,0.00003287359,0.0001321376,0.0001750613,0.000596088,0.00002307842,0.00009626715,0.00001178344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001506941,"about_ca_system_score_gemma":0.00002679187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005795836,"about_ca_topic_score_gemma":0.000001278023,"domain_scores_codex":[0.9992484,0.00003841727,0.0002161346,0.0001704824,0.0001535265,0.0001730603],"domain_scores_gemma":[0.9995481,0.00006597345,0.0001212146,0.0001007289,0.00008613794,0.00007778649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000147746,0.0003935319,0.8856266,0.00004886008,0.00009556416,3.780378e-7,0.001519162,0.002627698,0.003798148,0.07266404,0.00005639211,0.03302186],"study_design_scores_gemma":[0.003332705,0.001580933,0.6761773,0.0005578802,0.0002378786,0.00003080787,0.008819736,0.2486734,0.0173977,0.03709371,0.004301264,0.00179667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320003,0.0001172079,0.06697522,0.000102222,0.0001568914,0.0001729905,0.00002475549,0.00001715718,0.0004332448],"genre_scores_gemma":[0.9948809,0.00000642475,0.004819405,0.00001909816,0.0001650413,0.00002195705,0.00005031974,0.00001264106,0.00002417645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2460457,"threshold_uncertainty_score":0.4282065,"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."}}