{"id":"W2136731529","doi":"10.1109/i-society18435.2011.5978504","title":"Visual clustering in web search: An effective approach","year":2011,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Cluster analysis; Information retrieval; World Wide Web; Interface (matter); Search engine; Visualization; Exploratory search; Semantic search; Information visualization; User interface; Search analytics; Visual search; Web search query; Data mining; Artificial intelligence","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":[0.004319837,0.00155759,0.001405633,0.005906066,0.001266735,0.004543844,0.002223,0.002161472,0.01265414],"category_scores_gemma":[0.01182861,0.000996706,0.00111788,0.002787055,0.001114104,0.005994099,0.004702111,0.001468335,0.003476821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009700509,"about_ca_system_score_gemma":0.001111009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001961872,"about_ca_topic_score_gemma":0.002644121,"domain_scores_codex":[0.9964752,0.001754875,0.0001750684,0.0003220897,0.00113065,0.0001421524],"domain_scores_gemma":[0.9948385,0.002952089,0.0002261396,0.0007272284,0.001028005,0.0002279752],"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":[0.0007327721,0.0003955721,0.001931643,0.001919945,0.0001769798,0.0004196821,0.005146426,0.01593979,0.03193044,0.05526905,0.03821894,0.8479187],"study_design_scores_gemma":[0.0004844089,0.0008727384,0.004344656,0.001047933,0.0004202525,0.001966571,0.007375845,0.4184088,0.06883317,0.2387038,0.2570467,0.0004950123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01413499,0.001180003,0.958604,0.001997045,0.0001157968,0.0005579208,0.0004131848,0.01033197,0.01266507],"genre_scores_gemma":[0.102142,0.0009588111,0.8890286,0.0003353443,0.000108081,0.0005371436,0.0003878011,0.001079481,0.005422863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01265414,"threshold_uncertainty_score":0.04233229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07780915593579701,"score_gpt":0.3308465174550918,"score_spread":0.2530373615192948,"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."}}