{"id":"W2101496601","doi":"10.1016/j.is.2011.03.008","title":"Ranking uncertain sky: The probabilistic top-k skyline operator","year":2011,"lang":"en","type":"article","venue":"Information Systems","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Skyline; Computer science; Data mining; Probabilistic logic; Uncertain data; Set (abstract data type); Ranking (information retrieval); Object (grammar); Operator (biology); Algorithm; Artificial intelligence","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":[0.001806065,0.0007552541,0.001546666,0.001281483,0.0009371686,0.001983027,0.002259243,0.001257723,0.00816028],"category_scores_gemma":[0.006874705,0.0004188983,0.0008904736,0.002366077,0.0007839021,0.004737747,0.002218738,0.001402277,0.001483934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006566031,"about_ca_system_score_gemma":0.001413893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003746145,"about_ca_topic_score_gemma":0.005466839,"domain_scores_codex":[0.9985188,0.0004677635,0.0000766398,0.0002624251,0.0005092515,0.0001651953],"domain_scores_gemma":[0.9978424,0.000880977,0.0001414513,0.0005150247,0.0004660552,0.0001540925],"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":[0.001625313,0.0002568495,0.004160427,0.0005859976,0.0001722797,0.0002199854,0.0002821586,0.3279897,0.006903722,0.1030497,0.04944159,0.5053122],"study_design_scores_gemma":[0.00005122921,0.00009808829,0.0004343964,0.00001768489,0.00002691967,0.0001349226,0.00007030936,0.9042034,0.001727576,0.08794363,0.005267458,0.00002436758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02569575,0.0007250173,0.9656394,0.0004854143,0.0001217573,0.00009080386,0.0008755492,0.001863161,0.004503158],"genre_scores_gemma":[0.5176033,0.0008010139,0.4719872,0.0002640448,0.0002847801,0.0001416657,0.002506573,0.0005685415,0.005842845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00816028,"threshold_uncertainty_score":0.02729893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03473495861428488,"score_gpt":0.2283375924470648,"score_spread":0.1936026338327799,"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."}}