{"id":"W1998792254","doi":"10.1145/1247480.1247613","title":"URank","year":2007,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Semantics (computer science); Ranking (information retrieval); Probabilistic logic; Information retrieval; Query language; Query optimization; Theoretical computer science; Artificial intelligence; Programming language","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":[0.006271174,0.001314064,0.001918634,0.002938143,0.001730049,0.008346739,0.004475774,0.001986302,0.02403318],"category_scores_gemma":[0.02923306,0.0009266188,0.001508975,0.003810341,0.001288945,0.01301052,0.006865338,0.002353489,0.02002963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001233182,"about_ca_system_score_gemma":0.00280694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002669335,"about_ca_topic_score_gemma":0.003482973,"domain_scores_codex":[0.9909654,0.002245611,0.00129164,0.001578834,0.003338878,0.0005796194],"domain_scores_gemma":[0.9872335,0.003288144,0.0006273672,0.0058169,0.002728737,0.0003053726],"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":[0.001119309,0.0002121903,0.00249383,0.001638633,0.0002309179,0.0005270453,0.0007439576,0.0197754,0.005564994,0.3145452,0.143147,0.5100015],"study_design_scores_gemma":[0.000137272,0.0001823384,0.0005931011,0.0002954216,0.0001385692,0.001159973,0.0004256413,0.2360037,0.01940315,0.423782,0.3176828,0.0001961226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00563878,0.001032264,0.9116575,0.001135818,0.000263474,0.0004586967,0.005995653,0.0535769,0.02024094],"genre_scores_gemma":[0.1256578,0.001385077,0.8287107,0.001141058,0.0002736658,0.0005194989,0.01530504,0.005209849,0.02179724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02403318,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009667932734316846,"score_gpt":0.2364262225732772,"score_spread":0.2267582898389604,"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."}}