{"id":"W7017819199","doi":"","title":"Cache-Oblivious Dynamic Dictionaries with Optimal Update/Query Tradeoff","year":2010,"lang":"en","type":"article","venue":"","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Set (abstract data type); Sequence (biology); Noise (video); Feature (linguistics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002285349,0.0008221536,0.00190891,0.001112722,0.001359313,0.002854745,0.002806041,0.00164507,0.008702642],"category_scores_gemma":[0.02025031,0.001044448,0.0004672075,0.003239815,0.001327523,0.008272016,0.003089623,0.001565667,0.002224006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202604,"about_ca_system_score_gemma":0.004727586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003568633,"about_ca_topic_score_gemma":0.01050701,"domain_scores_codex":[0.9972325,0.0005633688,0.0003057391,0.0004420681,0.0009867583,0.0004696124],"domain_scores_gemma":[0.981013,0.008985241,0.0005713355,0.006855631,0.002114219,0.0004605193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005995136,0.0007902977,0.006343414,0.000976595,0.0002527953,0.0003910371,0.0008010912,0.2103532,0.03156743,0.06433269,0.07298085,0.6052155],"study_design_scores_gemma":[0.0006561864,0.0003689882,0.001118732,0.00005829731,0.0001857784,0.0005530088,0.0004209912,0.8903975,0.02170153,0.07652403,0.007932072,0.00008290841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2718565,0.004224712,0.6872613,0.004643067,0.00108823,0.0003936175,0.002912772,0.01255523,0.01506457],"genre_scores_gemma":[0.7158694,0.0007224875,0.2704047,0.0006009794,0.0004198855,0.0001977915,0.001466158,0.0008336846,0.009484944],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008702642,"threshold_uncertainty_score":0.02911323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007655398942367219,"score_gpt":0.2813626524410592,"score_spread":0.273707253498692,"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."}}