{"id":"W3124134467","doi":"10.1155/2021/6682670","title":"FedEx and UPS Network Structure and Accessibility Analysis Based on Complex Network Theory","year":2021,"lang":"en","type":"article","venue":"Complexity","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Centrality; Air cargo; Network structure; Division (mathematics); Transport engineering; Scale (ratio); Complex network; Network analysis; Spoke-hub distribution paradigm; Computer science; Operations research; Geography; Engineering; Cartography; Mathematics; Distributed computing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005195329,0.0001950241,0.0001958156,0.003841858,0.0004477439,0.001016369,0.0002408653,0.0002622996,0.003069673],"category_scores_gemma":[0.003640552,0.00008900035,0.0003320099,0.002997445,0.0004486371,0.001722698,0.0006850312,0.0002529267,0.0001478038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783369,"about_ca_system_score_gemma":0.0005211788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01756785,"about_ca_topic_score_gemma":0.01051822,"domain_scores_codex":[0.9996259,0.0001546111,0.00002167395,0.00007239266,0.00008418535,0.00004124742],"domain_scores_gemma":[0.9986128,0.0006929042,0.0002844148,0.0000870449,0.0002455173,0.00007738523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001540461,0.0001363469,0.1418446,0.0002114919,0.0001858131,0.0007080805,0.001714589,0.2424657,0.001567149,0.4798162,0.00906822,0.1221278],"study_design_scores_gemma":[0.00001178473,0.00005544962,0.1286449,0.00007579707,0.00005948614,0.0003117651,0.00122598,0.751187,0.0009113044,0.0992444,0.01824347,0.00002857128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8140762,0.0005114831,0.1334891,0.0008647402,0.00002881116,0.0001507522,0.004035925,0.0001724534,0.04667045],"genre_scores_gemma":[0.9837923,0.0002397957,0.01204993,0.00001913866,0.00001336919,0.00007720385,0.001140485,0.000007436027,0.002660329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01756785,"threshold_uncertainty_score":0.03493118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08386417885121751,"score_gpt":0.2698785190565436,"score_spread":0.1860143402053261,"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."}}