{"id":"W2121415061","doi":"10.1109/iv.2006.108","title":"The Visual Exploration ofWeb Search Results Using HotMap","year":2006,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Information retrieval; Search engine; Relevance (law); Set (abstract data type); Representation (politics); Result set; World Wide Web; Web search query; Usability; Search analytics; Visual search; Web search engine; Human–computer interaction; 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":[0.001117316,0.001225469,0.0005595824,0.003877623,0.0004043365,0.00239282,0.0008043326,0.0008047401,0.01510796],"category_scores_gemma":[0.00425005,0.0004013781,0.0007029424,0.002365823,0.0004075622,0.003012836,0.003133383,0.0007250583,0.00302621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002880863,"about_ca_system_score_gemma":0.0003929126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001234251,"about_ca_topic_score_gemma":0.001899344,"domain_scores_codex":[0.9995185,0.0001682744,0.00002620817,0.00004989122,0.0001815381,0.00005554992],"domain_scores_gemma":[0.9980146,0.001175275,0.000106441,0.0001977514,0.0003334376,0.0001724799],"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":[0.003616526,0.0003859712,0.005103339,0.004412219,0.0003111646,0.00244598,0.009292649,0.01750297,0.06602743,0.02966002,0.1808645,0.6803772],"study_design_scores_gemma":[0.0007243792,0.001268091,0.01994942,0.0016841,0.0003416438,0.005473693,0.005782199,0.3409488,0.0664032,0.1036709,0.45312,0.0006334881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09554125,0.005283177,0.7761848,0.002112751,0.0005759306,0.0007536608,0.009183022,0.05235628,0.05800919],"genre_scores_gemma":[0.3884403,0.003534739,0.5787446,0.0008598398,0.0003351993,0.0007794226,0.006831602,0.003982379,0.01649189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01510796,"threshold_uncertainty_score":0.05054116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04998496559217664,"score_gpt":0.3085191218787094,"score_spread":0.2585341562865328,"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."}}