{"id":"W2027483853","doi":"10.1002/atr.5670420303","title":"Partition‐based algorithm for estimating transportation network reliability with dependent link failures","year":2008,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hong Kong Polytechnic University","keywords":"Reliability (semiconductor); Algorithm; Computer science; Partition (number theory); Monotone polygon; Flow network; Property (philosophy); Mathematical optimization; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002127209,0.0008907006,0.001281664,0.001781123,0.0007292847,0.00111613,0.001714598,0.001095351,0.002153412],"category_scores_gemma":[0.008187314,0.0006497865,0.0005348422,0.00117027,0.0008869928,0.00130485,0.001244374,0.001053816,0.0004414499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638501,"about_ca_system_score_gemma":0.001685344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01072313,"about_ca_topic_score_gemma":0.006341998,"domain_scores_codex":[0.9991534,0.0003947528,0.00003901242,0.0001405902,0.0001917524,0.00008047977],"domain_scores_gemma":[0.9961461,0.00260772,0.0002642424,0.0001841157,0.0007036458,0.0000942197],"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":[0.0001363929,0.00002725926,0.000646379,0.00002618119,0.00003302343,0.00002179722,0.00006079547,0.954399,0.0007554234,0.004225942,0.0003681752,0.03929961],"study_design_scores_gemma":[0.000008467327,0.00000965858,0.00006957037,0.000002639688,0.000003153989,0.000005598473,0.000004937808,0.9982952,0.000202603,0.001313606,0.00008188829,0.000002705861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01689098,0.00007437729,0.9819125,0.00004256105,0.00001137329,0.00007038382,0.00004101906,0.0004289776,0.00052792],"genre_scores_gemma":[0.327392,0.00008978813,0.6704649,0.00003947553,0.0000228461,0.000435673,0.0002644434,0.0001204749,0.001170246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01072313,"threshold_uncertainty_score":0.02132148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00614139235300199,"score_gpt":0.2240711243116466,"score_spread":0.2179297319586447,"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."}}