{"id":"W2129129103","doi":"10.1109/hpcs.2007.25","title":"Parallel Computation of Skyline Queries","year":2007,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Skyline; Computer science; Context (archaeology); Set (abstract data type); Property (philosophy); Computation; Data mining; Information retrieval; Data set; Database; Theoretical computer science; Algorithm; Artificial intelligence; Programming language; Geography","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":[0.001920053,0.0009963964,0.00212623,0.001363469,0.001575865,0.003520247,0.001984243,0.0009650978,0.00553097],"category_scores_gemma":[0.00989768,0.0006365033,0.001179408,0.003736513,0.00104312,0.005002555,0.002454978,0.001137936,0.001470646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189175,"about_ca_system_score_gemma":0.00185339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007226015,"about_ca_topic_score_gemma":0.009050533,"domain_scores_codex":[0.9974359,0.0004633327,0.0002336458,0.0006109242,0.0008770711,0.000379241],"domain_scores_gemma":[0.9956864,0.001753247,0.0002969221,0.001157222,0.0008981175,0.0002080047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002033692,0.0004301697,0.01047184,0.0007696898,0.0004153898,0.0009194434,0.001328717,0.4538298,0.01842021,0.1174914,0.04094482,0.3529449],"study_design_scores_gemma":[0.0001593896,0.0000956294,0.0009275824,0.00001723423,0.00004988911,0.000175317,0.0002434787,0.8827002,0.005384631,0.1030522,0.007171984,0.00002248007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1765822,0.00159528,0.7936356,0.001401069,0.0003020088,0.000329544,0.00206216,0.007972456,0.01611967],"genre_scores_gemma":[0.592846,0.0006834663,0.3957049,0.0002549739,0.0002192732,0.000353266,0.004257769,0.0006498151,0.005030542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007226015,"threshold_uncertainty_score":0.01850301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716719010172285,"score_gpt":0.2687264890916409,"score_spread":0.2515592989899181,"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."}}