{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006293467,0.0000925717,0.0001273256,0.0001244632,0.0001330546,0.0001604283,0.0005759443,0.00004052255,0.000140943],"category_scores_gemma":[0.00002424944,0.00007851495,0.00002935734,0.0003520756,0.00005495609,0.0004251754,0.0004887094,0.0001117527,0.00009678415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001052558,"about_ca_system_score_gemma":0.00005744394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005755036,"about_ca_topic_score_gemma":0.00008037979,"domain_scores_codex":[0.9988286,0.0000691838,0.0001441894,0.0003972308,0.0002361562,0.0003245683],"domain_scores_gemma":[0.9992878,0.00007649232,0.00001485631,0.0004281045,0.00004708759,0.0001455904],"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":[0.00003116339,0.0005053504,0.0832129,0.0001684449,0.0003884506,0.0002254302,0.05338005,0.00002127493,0.2924541,0.02965624,0.04745053,0.4925061],"study_design_scores_gemma":[0.001343819,0.0005685468,0.007977324,0.0001480914,0.0000574555,0.0001116466,0.006227375,0.522427,0.4532078,0.0003075495,0.006258844,0.001364558],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7381861,0.0001543524,0.2474896,0.0002819576,0.0000474247,0.00003920082,0.000004383578,0.0001453256,0.01365159],"genre_scores_gemma":[0.912673,0.00002709173,0.0838823,0.0001686196,0.00002132867,0.00000184741,0.000003376515,0.000005913016,0.003216507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5224057,"threshold_uncertainty_score":0.3201747,"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."}}