{"id":"W85648037","doi":"","title":"Proceedings of the 2008 ACM SIGMOD international conference on Management of data","year":2008,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":423,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Dynamism; Session (web analytics); Field (mathematics); Sentence; Data science; Operations research; World Wide Web; 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":[0.01013321,0.002392226,0.002927673,0.00531982,0.002369681,0.01301999,0.003638377,0.003083332,0.08599043],"category_scores_gemma":[0.02079459,0.001480765,0.001540811,0.003586625,0.001572972,0.01531794,0.007937919,0.009386421,0.07962357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003356969,"about_ca_system_score_gemma":0.004631874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005577968,"about_ca_topic_score_gemma":0.006014949,"domain_scores_codex":[0.9934749,0.001622188,0.0005806941,0.0008526323,0.003034284,0.0004352669],"domain_scores_gemma":[0.990293,0.001866826,0.000659531,0.001874957,0.003221849,0.00208369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007068188,0.00006920301,0.0004251222,0.0001283124,0.00003409231,0.00004124894,0.0000955231,0.0001096166,0.0003473743,0.001041625,0.9446698,0.05296735],"study_design_scores_gemma":[0.00003108172,0.00004594716,0.001210153,0.0002929596,0.0000315009,0.000152367,0.0002069746,0.0009989552,0.0004841285,0.003222739,0.9932816,0.00004160222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02604738,0.1731377,0.1276523,0.1748897,0.1555923,0.004175291,0.0731464,0.05143563,0.2139234],"genre_scores_gemma":[0.03812291,0.1109549,0.143491,0.0365993,0.0359305,0.00242361,0.1711042,0.01001777,0.4513557],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08599043,"threshold_uncertainty_score":0.2876666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5943424653324738,"score_gpt":0.4691355235260268,"score_spread":0.125206941806447,"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."}}