{"id":"W4387745839","doi":"10.1016/j.ject.2023.10.002","title":"Resilience assessment of mobile emergency generator-assisted distribution networks: A stochastic geometry approach","year":2023,"lang":"en","type":"article","venue":"Journal of Economy and Technology","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Resilience (materials science); Stochastic geometry; Computer science; Voronoi diagram; Grid; Software deployment; Event (particle physics); Extreme value theory; Distributed computing; Overlay; Data mining; Mathematics; Geometry; 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":[0.0008588638,0.001061271,0.0006756809,0.001530674,0.0003923403,0.0008590844,0.001010752,0.000872437,0.0007710225],"category_scores_gemma":[0.002582159,0.0004546337,0.0008643574,0.0007914388,0.001007081,0.001070496,0.00131042,0.0005510994,0.0001287963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488088,"about_ca_system_score_gemma":0.000731149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00686836,"about_ca_topic_score_gemma":0.002940431,"domain_scores_codex":[0.9994159,0.000272003,0.00002115899,0.00009478218,0.0001214451,0.00007471841],"domain_scores_gemma":[0.9989147,0.0006201618,0.000190226,0.00006938732,0.0001331137,0.00007245535],"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":[0.000009184561,0.000004100079,0.0004749128,0.000007206673,0.00001034829,0.00004415431,0.000009989772,0.9931833,0.000360459,0.004340535,0.00008893891,0.001466879],"study_design_scores_gemma":[0.000001098814,0.000005361276,0.0001644621,0.000001676409,0.000002883865,0.00001288156,0.000007029819,0.9975932,0.00009413116,0.002011131,0.0001028244,0.000003166645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05835099,0.0002357243,0.9379293,0.0002990801,0.00002485269,0.00005293794,0.0001947841,0.0001890858,0.002723224],"genre_scores_gemma":[0.965026,0.000366406,0.03332063,0.00004426324,0.00003678325,0.00007467603,0.0001637527,0.00003657327,0.0009308888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00686836,"threshold_uncertainty_score":0.0136568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006116958406523364,"score_gpt":0.2386979772161353,"score_spread":0.232581018809612,"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."}}