{"id":"W1497709229","doi":"","title":"Seeking stable clusters in the blogosphere","year":2007,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Blogosphere; Computer science; Popularity; Intuition; Context (archaeology); Set (abstract data type); Geolocation; Event (particle physics); Information retrieval; Data mining; Theoretical computer science; Data science; World Wide Web; The Internet","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":[0.002500354,0.0007338211,0.001644311,0.006024484,0.003663216,0.004255118,0.001761719,0.002116264,0.003051696],"category_scores_gemma":[0.02157875,0.0009020228,0.0009130791,0.005286359,0.001508132,0.003793454,0.003006379,0.0009769589,0.001045256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001805578,"about_ca_system_score_gemma":0.001376663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00673025,"about_ca_topic_score_gemma":0.008900841,"domain_scores_codex":[0.9983709,0.0004332496,0.00008796016,0.0006172034,0.0002549891,0.0002357679],"domain_scores_gemma":[0.9894699,0.006444183,0.001264281,0.0006583157,0.001444534,0.0007188141],"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":[0.002982524,0.0007401743,0.1368343,0.00185843,0.001197826,0.002090462,0.0130686,0.2250136,0.0151782,0.2340496,0.07708929,0.289897],"study_design_scores_gemma":[0.0002624493,0.0002551618,0.01766641,0.0001742036,0.0002178401,0.0006312148,0.005896734,0.5925038,0.003243349,0.3651792,0.01382633,0.0001434355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6781037,0.002826093,0.3054141,0.003659658,0.0001214079,0.0002917889,0.001618152,0.0008158518,0.007149201],"genre_scores_gemma":[0.8996055,0.001167537,0.08958948,0.0004259745,0.0002579349,0.0002763809,0.002820163,0.0002186507,0.005638382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00673025,"threshold_uncertainty_score":0.0133822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480931006488469,"score_gpt":0.2411336558025575,"score_spread":0.2263243457376728,"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."}}