{"id":"W2005020601","doi":"10.1103/physrevlett.99.098701","title":"Localization Transition of Biased Random Walks on Random Networks","year":2007,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Random walk; Statistical physics; Transition (genetics); Physics; Mathematics; Statistics","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":[0.0005037234,0.0003373753,0.0003246435,0.0007534824,0.000327396,0.0006390562,0.0004676883,0.0006947294,0.0008240066],"category_scores_gemma":[0.004492173,0.000233456,0.0002349144,0.0003381857,0.001022785,0.001448027,0.0007759598,0.0003741192,0.0001708557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000589121,"about_ca_system_score_gemma":0.0002006237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001187177,"about_ca_topic_score_gemma":0.0009433177,"domain_scores_codex":[0.9997967,0.00008468574,0.000007192296,0.00002727807,0.00003245647,0.00005177007],"domain_scores_gemma":[0.9983492,0.0009308658,0.0003682761,0.00008211866,0.0001268966,0.00014276],"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":[0.0002818588,0.0001547421,0.00966388,0.0001988941,0.00009908574,0.001433841,0.0007890506,0.5633721,0.04255809,0.3676504,0.002118185,0.01167973],"study_design_scores_gemma":[0.0000447789,0.00005433356,0.001749512,0.00002194804,0.00001480686,0.0001588318,0.00007733478,0.9076186,0.002122607,0.08749811,0.0006181672,0.0000209238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.936731,0.0006067345,0.05810602,0.0004889721,0.00001832742,0.00002835993,0.00004880866,0.000136318,0.003835467],"genre_scores_gemma":[0.9961825,0.000194762,0.002773968,0.00005491486,0.00001174157,0.00002871162,0.00002974418,0.00001637806,0.0007072511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001187177,"threshold_uncertainty_score":0.004274368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138581740125781,"score_gpt":0.2858581003871556,"score_spread":0.2744722829858978,"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."}}