{"id":"W1970126214","doi":"10.5555/1109557.1109603","title":"Implicit dictionaries with O(1) modifications per update and fast search","year":2006,"lang":"en","type":"article","venue":"Symposium on Discrete Algorithms","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Conjecture; Constant (computer programming); Set (abstract data type); Computer science; Order (exchange); Search cost; Combinatorics; Binary logarithm; Mathematics; Discrete mathematics; Theoretical computer science; Algorithm; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001449423,0.0002513077,0.0001935516,0.0001501579,0.000550797,0.0004813783,0.0006042972,0.00007097473,0.00001678858],"category_scores_gemma":[0.000002175865,0.0001837412,0.00004391236,0.0003094924,0.000175047,0.0008056604,0.000343674,0.0002042316,0.00007591466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000041685,"about_ca_system_score_gemma":0.00005950875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003148194,"about_ca_topic_score_gemma":0.00001461199,"domain_scores_codex":[0.9980819,0.00005911068,0.0002356122,0.0007165738,0.0004944511,0.0004124082],"domain_scores_gemma":[0.9987646,0.00005841121,0.00007020712,0.0008416095,0.0001141868,0.0001509658],"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":[0.0001102259,0.0004960765,0.001770843,0.00005160382,0.0001150017,0.00006687103,0.0009129713,0.01070707,0.01095221,0.8873478,0.007409977,0.08005938],"study_design_scores_gemma":[0.002477215,0.001107288,0.05001795,0.0001499303,0.00006210169,0.0003112735,0.0003031932,0.854056,0.008321501,0.01326565,0.06822626,0.001701667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00985623,0.0002824143,0.9776972,0.006302881,0.0001811005,0.0003352352,0.0001572837,0.0003065779,0.004881106],"genre_scores_gemma":[0.7836423,0.000375743,0.2121032,0.0006127688,0.0005945004,0.0001774979,0.0003466698,0.00007190985,0.00207543],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8740821,"threshold_uncertainty_score":0.7492747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008316166533379635,"score_gpt":0.2350977895385778,"score_spread":0.2267816230051982,"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."}}