{"id":"W2163515948","doi":"","title":"Weighted intermediate rank lattice rules with applications in finance","year":2007,"lang":"en","type":"article","venue":"international conference on Modelling and simulation","topic":"Mathematical Approximation and Integration","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"","keywords":"Sobol sequence; Monte Carlo method; Lattice (music); Mathematics; Combinatorics; Rank (graph theory); Quasi-Monte Carlo method; Binary number; Discrete mathematics; Physics; Statistics; Hybrid Monte Carlo; Arithmetic; Markov chain Monte Carlo","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003786067,0.0001338588,0.0001462553,0.0001841958,0.00005936193,0.00006401818,0.0001047346,0.00007342822,0.0000686523],"category_scores_gemma":[0.00005452302,0.0001038378,0.00002310609,0.0001037603,0.00004484791,0.000186975,0.00001276953,0.0001602733,0.00001540606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004705615,"about_ca_system_score_gemma":0.0000176939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001090282,"about_ca_topic_score_gemma":0.00003314751,"domain_scores_codex":[0.9989827,0.00002357842,0.0003632167,0.0002249741,0.0002738949,0.0001316103],"domain_scores_gemma":[0.9989914,0.0004838131,0.0001375438,0.0001220621,0.0002263552,0.00003878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001109336,0.0001130451,0.0001867271,0.00002266207,0.000009173335,0.000001081924,0.0005491229,0.01090484,0.00001408243,0.983522,0.000002628366,0.00456373],"study_design_scores_gemma":[0.0002845698,0.00002726882,0.0001617649,0.00009362296,0.000004589654,6.770491e-7,0.0001027243,0.621688,0.0001217954,0.3772842,0.0001501857,0.00008061012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3942704,0.000004769975,0.5971479,0.0001359116,0.00002341992,0.0001925522,0.000004390176,0.00003401506,0.008186552],"genre_scores_gemma":[0.930111,0.00002516289,0.06932568,0.00005109002,0.00004313016,0.00002772065,0.00004181662,0.00001136317,0.0003630614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6107832,"threshold_uncertainty_score":0.4234384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08533986457219425,"score_gpt":0.34743881340797,"score_spread":0.2620989488357758,"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."}}