{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006636991,0.000186516,0.0001896442,0.0001567338,0.0001475161,0.001422634,0.002176624,0.00007105122,0.00001791992],"category_scores_gemma":[0.00008426239,0.0001570751,0.00004609229,0.00009627151,0.00005260612,0.002082177,0.0008948401,0.000188838,0.00005192835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001904923,"about_ca_system_score_gemma":0.0001108677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009505943,"about_ca_topic_score_gemma":0.0001336763,"domain_scores_codex":[0.9985204,0.00003535005,0.0002832706,0.0006517904,0.000266882,0.0002423387],"domain_scores_gemma":[0.9986123,0.0001072581,0.0001376605,0.0008861783,0.000174268,0.00008234791],"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":[0.00001610462,0.00009663148,0.0002686007,0.00004782261,0.00005656594,0.000003866427,0.0001369226,0.000003898701,0.0003677423,0.9608534,0.0105292,0.02761922],"study_design_scores_gemma":[0.001642368,0.0001578961,0.001314024,0.0003171114,0.00002778132,0.00002324043,0.0004091784,0.6990424,0.0001495818,0.01733878,0.2788797,0.0006979396],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02708422,0.0006197947,0.6966133,0.005495378,0.05782181,0.002151509,0.002071817,0.0003643609,0.2077779],"genre_scores_gemma":[0.9743823,0.00006566504,0.003531853,0.0001036352,0.000942913,0.00007937372,0.0005291192,0.0000153799,0.02034973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9472981,"threshold_uncertainty_score":0.999614,"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."}}