{"id":"W1966018813","doi":"10.1103/physreve.86.066104","title":"PageRank and rank-reversal dependence on the damping factor","year":2012,"lang":"en","type":"article","venue":"Physical Review E","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Rank (graph theory); PageRank; Mean reciprocal rank; Combinatorics; Spearman's rank correlation coefficient; Rank correlation; Mathematics; Correlation; Function (biology); Stability (learning theory); Statistics; Computer science; Theoretical computer science; Biology; Machine learning","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":[0.003732543,0.0005393043,0.0006635731,0.002553979,0.0006171189,0.001519812,0.0006113697,0.0009227167,0.002004527],"category_scores_gemma":[0.06874808,0.0003544485,0.0003714315,0.001727323,0.002404756,0.003087945,0.000796894,0.001442509,0.00052926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007713796,"about_ca_system_score_gemma":0.0005373053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001181086,"about_ca_topic_score_gemma":0.0009311705,"domain_scores_codex":[0.9980823,0.0007332399,0.00009775125,0.0004107858,0.0004814405,0.0001944505],"domain_scores_gemma":[0.927829,0.05216004,0.009463362,0.005302211,0.0039685,0.0012769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008928669,0.0003242734,0.07264757,0.0005072883,0.0002501099,0.0009598373,0.001315104,0.4293666,0.02627568,0.3369079,0.008782175,0.1217705],"study_design_scores_gemma":[0.00008371626,0.0003122372,0.02874083,0.00005978396,0.00004191987,0.0007547876,0.0002041116,0.7622337,0.006714344,0.1982727,0.002468496,0.0001133137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7540816,0.001429434,0.2299909,0.00147863,0.00009250925,0.0001044918,0.0007296833,0.0009872256,0.01110549],"genre_scores_gemma":[0.987426,0.0002373173,0.01096027,0.00006781502,0.00004346591,0.00006416337,0.0002112969,0.00005514606,0.0009344887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003732543,"threshold_uncertainty_score":0.01973981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0353155149808097,"score_gpt":0.3284125828905067,"score_spread":0.293097067909697,"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."}}