{"id":"W3083548150","doi":"10.1002/rsa.20306","title":"Edge flows in the complete random‐lengths network","year":2010,"lang":"en","type":"article","venue":"Random Structures and Algorithms","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Pacific Institute for the Mathematical Sciences","keywords":"Random graph; Mathematics; Vertex (graph theory); Combinatorics; Enhanced Data Rates for GSM Evolution; struct; Random variable; Path (computing); Shortest path problem; Flow (mathematics); Limit (mathematics); Constant (computer programming); Path length; Graph; Discrete mathematics; Computer science; Geometry; Mathematical analysis; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00186622,0.0003823329,0.0005887067,0.001757731,0.0005178946,0.001015827,0.001039939,0.001001536,0.001850953],"category_scores_gemma":[0.009543287,0.0004800837,0.0003027955,0.0008220694,0.00120439,0.002861803,0.000919827,0.0006137602,0.0002278123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272701,"about_ca_system_score_gemma":0.0004799437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002174835,"about_ca_topic_score_gemma":0.001961363,"domain_scores_codex":[0.9994979,0.0002274383,0.00001522331,0.00009254171,0.0001004913,0.00006641684],"domain_scores_gemma":[0.9961487,0.002437765,0.0006005969,0.0002230281,0.000334854,0.0002549627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001645473,0.00003871121,0.002638853,0.00007082576,0.00003492147,0.0001462499,0.0001543162,0.5531942,0.001409282,0.4288386,0.002012714,0.01129687],"study_design_scores_gemma":[0.0000248566,0.00001313291,0.0009165034,0.00001232295,0.00000893216,0.00004793141,0.00002545108,0.801079,0.0003176843,0.1966881,0.0008498906,0.00001615586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6584562,0.0005965434,0.3325978,0.001583396,0.00004801901,0.00008267321,0.0008709008,0.0002115653,0.005552889],"genre_scores_gemma":[0.9691786,0.0005709518,0.02474032,0.0001654391,0.00006954509,0.0001816392,0.0005118883,0.00004584287,0.004535738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002174835,"threshold_uncertainty_score":0.009869635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008304581060683752,"score_gpt":0.2488744036981109,"score_spread":0.2405698226374272,"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."}}