{"id":"W2921056402","doi":"","title":"Subquadratic-Space Query-Efficient Data Structures for Realizable Order Types","year":2017,"lang":"en","type":"article","venue":"Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles)","topic":"Polynomial and algebraic computation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Space (punctuation); Order (exchange); Query optimization; Theoretical computer science; Data mining","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":["metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0005225576,0.0005688816,0.0005329924,0.0004432294,0.003549505,0.001053641,0.006265447,0.0004181344,0.00008905309],"category_scores_gemma":[0.0002382242,0.0006408208,0.0002512731,0.0006625662,0.0004304988,0.00315349,0.002949754,0.0004247548,0.00006815077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005811133,"about_ca_system_score_gemma":0.001641411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001875598,"about_ca_topic_score_gemma":0.0006244871,"domain_scores_codex":[0.9965408,0.0001814262,0.0003668325,0.001272407,0.0004767073,0.00116186],"domain_scores_gemma":[0.9957152,0.0002678957,0.0005364512,0.002581754,0.0003103279,0.0005883765],"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":[0.001165114,0.0004291284,0.001888256,0.0002636927,0.000462194,0.0007663387,0.009344566,0.06707374,0.00197743,0.7736031,0.09692989,0.04609656],"study_design_scores_gemma":[0.007237085,0.0002212307,0.01442044,0.0002252511,0.0002675605,0.0003848176,0.002503218,0.7640643,0.001952634,0.01210406,0.1951999,0.001419464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1311139,0.0009023623,0.8514079,0.00681957,0.0008820727,0.0007444263,0.0003144863,0.0006360464,0.007179279],"genre_scores_gemma":[0.9097534,0.0004074311,0.08342482,0.0007067763,0.000526698,0.000009238319,0.0003696793,0.00007237565,0.004729523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7786396,"threshold_uncertainty_score":0.9999834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046159161076289,"score_gpt":0.2325536296673076,"score_spread":0.2120920380565448,"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."}}