{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000899079,0.00005581107,0.00007120317,0.00006080675,0.00006176056,0.0001071522,0.0004866031,0.00002024639,0.00005142775],"category_scores_gemma":[0.000004948661,0.00004278959,0.00004137866,0.0003593387,0.00001202994,0.0002883483,0.00009991337,0.00004376933,0.0004336394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001256217,"about_ca_system_score_gemma":0.00002954387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001045815,"about_ca_topic_score_gemma":0.000004783566,"domain_scores_codex":[0.9994411,0.00000997688,0.00008495701,0.0002010692,0.0001287391,0.0001341938],"domain_scores_gemma":[0.9994974,0.00001225042,0.00001708419,0.0003951284,0.00002250296,0.00005561994],"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":[3.058484e-7,0.00007844203,0.00006879459,0.000001737197,0.00003902411,0.00006125593,0.0002724718,0.00004893569,0.0003763557,0.111152,0.00340635,0.8844943],"study_design_scores_gemma":[0.003274822,0.0002789974,0.003171297,0.00006332339,0.00006606142,0.0001394534,0.0001708953,0.6841376,0.04866382,0.1085356,0.1499604,0.001537769],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001426227,0.00003077181,0.9889924,0.001604834,0.00007576778,0.0000134436,0.000001440555,0.000211874,0.007643271],"genre_scores_gemma":[0.1102465,0.000009583431,0.8874591,0.0006738121,0.00005611983,0.000002099604,0.000006540493,0.000003162685,0.001543067],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8829565,"threshold_uncertainty_score":0.5573702,"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."}}