{"id":"W4242928183","doi":"10.1109/wsc.2012.6465291","title":"Constructing adapted lattice rules using problem-dependent criteria","year":2012,"lang":"en","type":"article","venue":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)","topic":"Mathematical Approximation and Integration","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Lattice (music); Monte Carlo method; Computer science; Extensibility; Dimension (graph theory); Theoretical computer science; Algorithm; Mathematics; Combinatorics; Physics; Programming language; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005382504,0.0002193351,0.0002843886,0.0001084058,0.0001097151,0.0001371785,0.0003000759,0.0001365012,0.002239273],"category_scores_gemma":[0.0006533936,0.0001595301,0.00009718304,0.0001867936,0.0001016756,0.001079478,0.0001387262,0.0002177549,0.0001020124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008673422,"about_ca_system_score_gemma":0.00002818096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003161535,"about_ca_topic_score_gemma":5.414426e-7,"domain_scores_codex":[0.9985333,0.000007217364,0.0005516126,0.0002042704,0.0004073641,0.0002962547],"domain_scores_gemma":[0.9982364,0.00009262782,0.0005613697,0.00008727213,0.000930502,0.00009181548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000267678,0.0001371495,0.001746319,0.000704416,0.00005059063,2.56918e-8,0.002258131,0.00000124425,0.008700873,0.9808401,0.003924382,0.001610007],"study_design_scores_gemma":[0.001192285,0.0001066158,0.0005088225,0.002310943,0.0004499441,0.00007200805,0.005380483,0.3509276,0.07227337,0.5555952,0.01003642,0.001146289],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5992083,0.0000477294,0.01333043,0.0005785931,0.0005733239,0.001138308,0.00002237325,0.0002705804,0.3848303],"genre_scores_gemma":[0.9359318,0.00000125938,0.06055539,0.00004807839,0.0002083988,0.00001583998,0.000002130324,0.00003356688,0.00320352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4252449,"threshold_uncertainty_score":0.9986728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1145503781511238,"score_gpt":0.3472836455166474,"score_spread":0.2327332673655236,"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."}}