{"id":"W4391775153","doi":"10.1016/j.physa.2024.129576","title":"Exploring cascading failure processes of interdependent multi-modal public transit networks","year":2024,"lang":"en","type":"article","venue":"Physica A Statistical Mechanics and its Applications","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Interdependence; Modal; Cascading failure; Public transport; Computer science; Engineering; Transport engineering; Political science; Physics; Materials science","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":[0.0001194952,0.0001715246,0.0002465404,0.00008132165,0.0001320479,0.00012792,0.0001660432,0.00002111303,0.00007069621],"category_scores_gemma":[0.000008255636,0.0001614582,0.00007126092,0.0004777308,0.00002148424,0.000209591,0.0000905575,0.000204258,0.00000772252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001694448,"about_ca_system_score_gemma":0.00003815429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002109724,"about_ca_topic_score_gemma":0.00001676682,"domain_scores_codex":[0.9989172,0.00003183691,0.0003013762,0.000373489,0.0001399104,0.0002361899],"domain_scores_gemma":[0.9992657,0.000247955,0.00006242665,0.000178598,0.0001276933,0.0001176794],"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":[0.000001705469,0.0001312913,0.000008462946,0.0001122917,0.0001126114,5.671649e-7,0.0001928361,0.0000904644,0.001189168,0.9437905,0.00007312636,0.05429699],"study_design_scores_gemma":[0.0001597633,0.00005587989,0.00004151361,0.0001446233,0.0002265901,0.000001574611,0.000437981,0.9039773,0.002029063,0.08626082,0.006323526,0.0003413991],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001696206,0.0002468905,0.9969583,0.0002214418,0.00002092926,0.0003421035,0.0001986036,0.0001103529,0.0002051816],"genre_scores_gemma":[0.9901895,0.00007243713,0.008737999,0.000007884954,0.0002124422,0.0006364405,0.0001017981,0.00003052873,0.00001098874],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9884933,"threshold_uncertainty_score":0.6584076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06476848572592944,"score_gpt":0.2983477883668466,"score_spread":0.2335793026409171,"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."}}