{"id":"W1975859913","doi":"10.1007/s00224-013-9455-2","title":"Linear-Space Data Structures for Range Mode Query in Arrays","year":2013,"lang":"en","type":"article","venue":"Theory of Computing Systems","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Waterloo","funders":"","keywords":"Range (aeronautics); Mode (computer interface); Space (punctuation); Range query (database); Computer science; Information retrieval; Web search query; Sargable; Engineering; Aerospace engineering; Search engine","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":[0.001205313,0.0001564788,0.0003473081,0.0001078464,0.00009052629,0.0001128188,0.002062894,0.00007220943,0.000003363812],"category_scores_gemma":[0.00009673699,0.0001268277,0.0000395807,0.0001717076,0.00005018348,0.0005519494,0.000802729,0.0001180921,0.000008746792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002110237,"about_ca_system_score_gemma":0.00005087814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005517952,"about_ca_topic_score_gemma":0.000004585577,"domain_scores_codex":[0.9983643,0.000245875,0.0004263323,0.0004434472,0.0002298152,0.0002901995],"domain_scores_gemma":[0.9974872,0.0006392183,0.0002494848,0.00145651,0.0001050435,0.00006249962],"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":[0.00005701831,0.0001440715,0.001051667,0.0007350829,0.00006983699,0.000006062059,0.004487226,0.06751255,0.003372224,0.853708,0.009775341,0.05908095],"study_design_scores_gemma":[0.000419565,0.00003634852,0.0009234732,0.0002119396,0.000003409272,0.000008597105,0.0001463424,0.975226,0.000200459,0.02205515,0.0006109291,0.0001577399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05022053,0.0004913533,0.9474423,0.00009289877,0.0007988564,0.0005591408,0.00003630398,0.0001016309,0.0002569938],"genre_scores_gemma":[0.9060241,0.000003313127,0.0935621,0.00003485138,0.0002516838,0.000009542418,0.00003139627,0.00001326418,0.0000697413],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9077135,"threshold_uncertainty_score":0.5171884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0389336755502249,"score_gpt":0.2943412708216168,"score_spread":0.2554075952713918,"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."}}