{"id":"W1984342665","doi":"10.1145/2009916.2010168","title":"Enhancing web search by mining search and browse logs","year":2011,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Automatic summarization; Information retrieval; Search engine; Web search query; Web search engine; Web crawler; Byte; World Wide Web; Data mining; Data science","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":[0.002383156,0.001562419,0.001477531,0.009998479,0.0006128746,0.003427652,0.001411634,0.00109654,0.001278424],"category_scores_gemma":[0.01628882,0.0006718561,0.001569388,0.007436104,0.0004537314,0.006375041,0.001345519,0.001606122,0.002220112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006590987,"about_ca_system_score_gemma":0.001438546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007868253,"about_ca_topic_score_gemma":0.01304262,"domain_scores_codex":[0.9985344,0.0004447983,0.0001558648,0.0002456273,0.0005067847,0.0001125545],"domain_scores_gemma":[0.9927787,0.00468135,0.0005172775,0.000878638,0.001013136,0.0001308033],"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":[0.0004751146,0.001006918,0.04790185,0.00224834,0.0003903921,0.0003512464,0.001065745,0.02922559,0.01529982,0.006761795,0.03742253,0.8578507],"study_design_scores_gemma":[0.00007998338,0.0003967537,0.02431568,0.0003577203,0.0002971135,0.0008703084,0.001231263,0.8848738,0.01504017,0.039279,0.03313121,0.0001269718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.24994,0.01895143,0.6623111,0.003241095,0.0002512829,0.001291973,0.01963457,0.02967973,0.01469871],"genre_scores_gemma":[0.4484739,0.007870141,0.4960173,0.0006701503,0.000370102,0.000597395,0.03816911,0.001024171,0.006807722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009998479,"threshold_uncertainty_score":0.01564491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04401880406645026,"score_gpt":0.2599052200188114,"score_spread":0.2158864159523612,"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."}}