{"id":"W2090018148","doi":"10.1109/dnsr.2004.1344743","title":"Weighted PageRank algorithm","year":2004,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":562,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Atlantic Canada Opportunities Agency","keywords":"PageRank; Computer science; Ranking (information retrieval); HITS algorithm; Web page; Information retrieval; Popularity; Rank (graph theory); Categorization; Learning to rank; Data mining; World Wide Web; Theoretical computer science; Web search engine; Web navigation; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002237172,0.002159057,0.003130384,0.004688956,0.001447015,0.003624204,0.003137503,0.002753312,0.02266563],"category_scores_gemma":[0.009484827,0.0007167762,0.0009801054,0.00542103,0.0008624669,0.00435491,0.001353948,0.001402621,0.02436554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007499558,"about_ca_system_score_gemma":0.002355318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002438524,"about_ca_topic_score_gemma":0.003572599,"domain_scores_codex":[0.9960726,0.001334611,0.00033036,0.000566407,0.001405591,0.000290505],"domain_scores_gemma":[0.9961535,0.001456131,0.0002956435,0.0006252232,0.001328528,0.000140884],"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":[0.0003266118,0.0002957711,0.00136553,0.0006956443,0.0002661227,0.0002466542,0.00008140763,0.10949,0.002896812,0.0387013,0.09781807,0.7478162],"study_design_scores_gemma":[0.0003808018,0.000340955,0.0005573682,0.0001390659,0.0001553787,0.001002291,0.000114235,0.7485837,0.004785503,0.1226579,0.12119,0.00009274607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005974591,0.003628164,0.9565156,0.0007866667,0.000961598,0.0008792797,0.001500049,0.005222431,0.02453162],"genre_scores_gemma":[0.1269929,0.004750919,0.8093464,0.0006439817,0.001261041,0.001148127,0.006622575,0.0007233185,0.04851066],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02266563,"threshold_uncertainty_score":0.07582414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008709172515255128,"score_gpt":0.218913923281581,"score_spread":0.2102047507663259,"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."}}