{"id":"W2162672362","doi":"10.1109/wiiat.2008.24","title":"An Unsupervised Approach to Cluster Web Search Results Based on Word Sense Communities","year":2008,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Cluster analysis; Word (group theory); Information retrieval; Measure (data warehouse); Process (computing); Modularity (biology); Web page; Artificial intelligence; Unsupervised learning; Data mining; World Wide Web","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":[0.0007066528,0.0001547967,0.0001888317,0.0003317724,0.0003553417,0.0002018463,0.001134027,0.00005275646,0.00001611496],"category_scores_gemma":[0.00002523127,0.0001247941,0.00006530154,0.0007697653,0.00006510044,0.0003281697,0.0002434439,0.0001989773,0.000158216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002564784,"about_ca_system_score_gemma":0.0001011919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006186105,"about_ca_topic_score_gemma":0.00007862507,"domain_scores_codex":[0.9982093,0.0004080665,0.0002230747,0.0003794919,0.0004512022,0.0003288434],"domain_scores_gemma":[0.9974842,0.0002245548,0.00002257265,0.00195281,0.00009638722,0.0002194734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001532382,0.007846067,0.008229702,0.0001382116,0.0003138649,0.00040116,0.1149297,0.5162956,0.002554431,0.01183347,0.2445979,0.09132756],"study_design_scores_gemma":[0.0007404335,0.0001691956,0.001049914,0.00001339886,0.000003849875,0.00001093682,0.0008680906,0.9947142,0.0003101944,0.000004352601,0.001915297,0.0002001461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5527477,0.000004639463,0.3705296,0.003333869,0.00006991312,0.0002042219,0.00005002724,0.0004907258,0.07256938],"genre_scores_gemma":[0.8721464,0.000002913496,0.1229065,0.003373952,0.00004106326,0.000007652542,0.00009166943,0.000009342623,0.001420566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4784186,"threshold_uncertainty_score":0.5088955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06940130893529436,"score_gpt":0.2719062895478437,"score_spread":0.2025049806125494,"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."}}