{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005024881,0.000188271,0.0006090592,0.00005783207,0.00005580193,0.00001144848,0.0001365195,0.00001029335,0.0001094192],"category_scores_gemma":[0.000008727372,0.000158268,0.0004701552,0.0004411709,0.00006055245,0.00006631645,0.00001370944,0.0001616379,0.000011489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002223744,"about_ca_system_score_gemma":0.000006304846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003688458,"about_ca_topic_score_gemma":0.000001343553,"domain_scores_codex":[0.9986985,0.0001420742,0.0004379836,0.0002346813,0.000247769,0.000238986],"domain_scores_gemma":[0.999041,0.0003401196,0.0002107605,0.0002860974,0.00005383688,0.0000681767],"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":[0.002568237,0.003276705,0.003066337,0.001837411,0.001492386,0.00001780755,0.0008024526,0.2449295,0.02478039,0.02576773,0.07568947,0.6157716],"study_design_scores_gemma":[0.01732299,0.0005040757,0.001840323,0.0123755,0.003083567,0.000001746007,0.00005206422,0.8941153,0.02167281,0.007896049,0.03888137,0.002254198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03785431,0.0007059496,0.9592327,0.0007815196,0.00003718988,0.0005530525,0.000004214905,0.00005537708,0.0007757138],"genre_scores_gemma":[0.9946789,0.0002390309,0.0001543021,0.004253675,0.0005009227,0.00003064029,0.0001204264,0.00001965417,0.000002442415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9590784,"threshold_uncertainty_score":0.6453981,"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."}}