{"id":"W2171637483","doi":"10.5555/2429759.2429803","title":"Constructing adapted lattice rules using problem-dependent criteria","year":2012,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Mathematical Approximation and Integration","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Lattice (music); Monte Carlo method; Computer science; Extensibility; Theoretical computer science; Mathematics; Physics; Statistics; Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004490287,0.0001867072,0.0002421815,0.00008746165,0.0001002829,0.000131716,0.0001286135,0.00009839355,0.003082555],"category_scores_gemma":[0.0005452759,0.0001610068,0.00006094771,0.00009064391,0.00005281388,0.0006775107,0.00005817868,0.0001492574,0.0001298365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008426248,"about_ca_system_score_gemma":0.00002975432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007002417,"about_ca_topic_score_gemma":0.000006262638,"domain_scores_codex":[0.9985756,0.000123564,0.000543182,0.000188853,0.0002904561,0.0002783382],"domain_scores_gemma":[0.9986863,0.0003947275,0.0002501859,0.0002337429,0.0003223749,0.0001126284],"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":[0.00002027891,0.0001381402,0.0006286057,0.0001646247,0.00002914885,4.097336e-7,0.002543141,0.00005033979,0.001015069,0.9914313,0.00007298314,0.003905965],"study_design_scores_gemma":[0.000377009,0.0000218566,0.0000820604,0.000233873,0.00005128393,0.00001641216,0.0009621527,0.7867748,0.002632712,0.2081911,0.0003863395,0.0002704787],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2924353,0.000008824907,0.6825916,0.0001319902,0.0001945203,0.0003379432,0.00001157701,0.0001519401,0.02413632],"genre_scores_gemma":[0.7754797,3.060122e-7,0.2238999,0.0000652672,0.0001131895,0.00001010833,0.00001342328,0.00001730651,0.0004007072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7867244,"threshold_uncertainty_score":0.9978288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1877059126795229,"score_gpt":0.3896434177626281,"score_spread":0.2019375050831052,"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."}}