{"id":"W2398934262","doi":"10.1145/2754929","title":"Algorithm 958","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Mathematical Software","topic":"Mathematical Approximation and Integration","field":"Mathematics","cited_by":44,"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); Algorithm; Mathematics; Normalization (sociology); Computer science; Software","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001192994,0.001833746,0.00121327,0.002516528,0.001411392,0.004032392,0.00282686,0.00168937,0.1365136],"category_scores_gemma":[0.006124226,0.0006609802,0.001424687,0.002280883,0.0007574307,0.00318273,0.003509423,0.00188374,0.07218092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332907,"about_ca_system_score_gemma":0.002312765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001884443,"about_ca_topic_score_gemma":0.002843494,"domain_scores_codex":[0.9980709,0.0003420073,0.0001907092,0.0005532581,0.0005874623,0.0002556094],"domain_scores_gemma":[0.9984486,0.0004563927,0.00006865594,0.0005007791,0.0004510149,0.00007457436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003995762,0.0001922063,0.001410186,0.0006049564,0.0001109353,0.0001828948,0.0001480023,0.02585103,0.002680846,0.158552,0.1550853,0.6547821],"study_design_scores_gemma":[0.000320255,0.0001318379,0.0004800685,0.0002271267,0.00006535725,0.0006807242,0.0002130946,0.2041204,0.009194746,0.3857708,0.3987045,0.00009114397],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.004157379,0.0005869471,0.89885,0.0007637833,0.0005324062,0.0005356251,0.005089683,0.01618681,0.07329724],"genre_scores_gemma":[0.05088115,0.0005122994,0.8713315,0.0007565621,0.0001839072,0.001154958,0.01449406,0.006105685,0.05457995],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1365136,"threshold_uncertainty_score":0.4566836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05285829829686607,"score_gpt":0.3135045556838899,"score_spread":0.2606462573870238,"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."}}