{"id":"W2025419780","doi":"10.1109/fskd.2010.5569645","title":"Top-k ranking for uncertain data","year":2010,"lang":"en","type":"article","venue":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ranking (information retrieval); Semantics (computer science); Rank (graph theory); Computer science; Uncertain data; Dimension (graph theory); Information retrieval; Data mining; Space (punctuation); Theoretical computer science; Mathematics; Combinatorics","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":[0.008591986,0.001242479,0.002839369,0.005152779,0.002923955,0.006097709,0.002297494,0.001549606,0.003519966],"category_scores_gemma":[0.02941064,0.0005461731,0.00204285,0.006936713,0.002687712,0.009690943,0.00273655,0.002492563,0.001219242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00272171,"about_ca_system_score_gemma":0.002234774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002468137,"about_ca_topic_score_gemma":0.003253703,"domain_scores_codex":[0.9868255,0.005306002,0.001217287,0.001772177,0.004042171,0.0008367426],"domain_scores_gemma":[0.9817809,0.009662651,0.00156714,0.003238255,0.003099244,0.0006517729],"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":[0.0002148361,0.000110059,0.003700546,0.0009610812,0.000321529,0.0004165637,0.0007143171,0.1344369,0.002260307,0.6531484,0.01328559,0.1904299],"study_design_scores_gemma":[0.00002447037,0.000123879,0.0009029459,0.00009521833,0.00008026993,0.0004029228,0.0004251336,0.3001309,0.001425336,0.6849326,0.01135575,0.0001004765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01553312,0.001463958,0.9768174,0.0007624565,0.0001504372,0.0001023804,0.0004889187,0.0003113062,0.004370018],"genre_scores_gemma":[0.4292981,0.001736788,0.5629573,0.0003765443,0.0004172346,0.0002381251,0.00145611,0.0001915554,0.003328285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008591986,"threshold_uncertainty_score":0.0454393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08575587457417934,"score_gpt":0.3355655237190078,"score_spread":0.2498096491448284,"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."}}