{"id":"W2135843591","doi":"10.1145/511446.511489","title":"Probabilistic query expansion using query logs","year":2002,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":427,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Sargable; Query optimization; Query expansion; Computer science; Probabilistic logic; Query language; RDF query language; Web search query; Web query classification; Query by Example; Boolean conjunctive query; Information retrieval; Data mining; Artificial intelligence; Search engine","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":[],"consensus_categories":[],"category_scores_codex":[0.000148081,0.00009972078,0.00009290075,0.00008504734,0.00009094848,0.0002224846,0.0006067568,0.00002752833,0.0001967262],"category_scores_gemma":[0.00002270999,0.00008266822,0.00003500229,0.0002847383,0.00002745757,0.001089655,0.0003993222,0.00005815739,0.0002963671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002772803,"about_ca_system_score_gemma":0.00000760684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006007712,"about_ca_topic_score_gemma":0.00000657602,"domain_scores_codex":[0.9990689,0.00002819952,0.00014816,0.0003259031,0.0001998511,0.000228975],"domain_scores_gemma":[0.9992971,0.00002931114,0.000036909,0.0005547972,0.0000261559,0.00005573449],"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":[0.000002819276,0.0005573573,0.0006746617,0.0001160064,0.00004078471,0.0001957031,0.0006535296,0.001095215,0.001391906,0.3830292,0.07395373,0.5382891],"study_design_scores_gemma":[0.0001470614,0.00002877509,0.0002290605,0.00001837944,0.000005292507,0.00000876488,0.00001826598,0.9871587,0.0001759914,0.003652158,0.008366163,0.0001914051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01494381,0.0001028247,0.9581107,0.0007604071,0.0005768429,0.0001993364,0.000001240973,0.0003985696,0.02490629],"genre_scores_gemma":[0.5838065,0.00006205705,0.3950646,0.001989489,0.0003056869,0.0000165507,0.000009734143,0.00002454301,0.0187209],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9860635,"threshold_uncertainty_score":0.3809298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0558195065342248,"score_gpt":0.2403360045591247,"score_spread":0.1845164980248999,"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."}}