{"id":"W2970759111","doi":"10.1515/mcma-2019-2045","title":"Quasi-Monte Carlo method for solving Fredholm equations","year":2019,"lang":"en","type":"article","venue":"Monte Carlo Methods and Applications","topic":"Mathematical Approximation and Integration","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Monte Carlo method; Fredholm integral equation; Hybrid Monte Carlo; Applied mathematics; Statistical physics; Dynamic Monte Carlo method; Monte Carlo molecular modeling; Monte Carlo method in statistical physics; Fredholm theory; Mathematics; Computer science; Integral equation; Markov chain Monte Carlo; Physics; Mathematical analysis; Statistics","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":[0.003926106,0.0005186064,0.001022236,0.001251798,0.0008898413,0.001514152,0.001668724,0.00140938,0.004223472],"category_scores_gemma":[0.007663343,0.0007616709,0.001162422,0.0006644882,0.001559508,0.001242203,0.001056915,0.001525942,0.0005523749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001988531,"about_ca_system_score_gemma":0.002028144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01242135,"about_ca_topic_score_gemma":0.01096206,"domain_scores_codex":[0.9988627,0.0006056036,0.00003826149,0.0001181626,0.0002920762,0.00008314048],"domain_scores_gemma":[0.9944354,0.004034404,0.0002855482,0.000277528,0.0007418667,0.0002251792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001875428,0.00009041789,0.002038416,0.0001435742,0.0001131864,0.0001546252,0.00008220859,0.7774867,0.003573751,0.1951801,0.0008432267,0.02010621],"study_design_scores_gemma":[0.000004424152,0.000007378626,0.00005696149,0.00000576268,0.000003628409,0.000008425692,0.000002502658,0.9935684,0.0003151413,0.005802937,0.000219305,0.000005242563],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01501241,0.0001986619,0.9827796,0.000159222,0.00005549093,0.00005064442,0.00004511389,0.000178522,0.001520286],"genre_scores_gemma":[0.4036385,0.0004122265,0.5851641,0.0002531393,0.0001140616,0.0004583833,0.0002990751,0.0002607776,0.00939981],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01242135,"threshold_uncertainty_score":0.02469808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07318058783061929,"score_gpt":0.4388399506290042,"score_spread":0.3656593627983848,"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."}}