{"id":"W2165691328","doi":"10.1109/ssdbm.2006.29","title":"Indexing Time-Evolving Data With Variable Lifetimes","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Search engine indexing; Partition (number theory); Computer science; Data management; Line (geometry); Index (typography); Access time; Data mining; Parallel computing; Information retrieval; Mathematics; Operating system","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":[0.001662189,0.0003282402,0.0009131033,0.00155701,0.001062914,0.002157721,0.001672788,0.0008081429,0.0009112743],"category_scores_gemma":[0.008432994,0.0004266349,0.0004054275,0.003859521,0.000944944,0.005481328,0.001590298,0.0008844193,0.000305748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008074236,"about_ca_system_score_gemma":0.0007775986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001392641,"about_ca_topic_score_gemma":0.001737359,"domain_scores_codex":[0.9988524,0.000168821,0.0001791442,0.000213806,0.0004364345,0.0001494756],"domain_scores_gemma":[0.992761,0.002821468,0.000840912,0.002570773,0.0007826882,0.0002230729],"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":[0.00111876,0.0002794522,0.01659341,0.0006641024,0.0001482952,0.0008654569,0.0022359,0.1123486,0.073683,0.1483909,0.00748712,0.636185],"study_design_scores_gemma":[0.0001379979,0.0004148923,0.004997019,0.0000922394,0.0001475737,0.001891544,0.0009108397,0.7249594,0.0575196,0.1644566,0.044342,0.0001303681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2921145,0.003970239,0.6973212,0.000734482,0.0001634055,0.000166047,0.0006861668,0.00164795,0.003195913],"genre_scores_gemma":[0.7564621,0.002096871,0.2373682,0.0001762467,0.0001716559,0.000164866,0.001007216,0.0002101694,0.002342603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002157721,"threshold_uncertainty_score":0.008790612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044150740411778,"score_gpt":0.2200611103743849,"score_spread":0.2096196029702671,"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."}}