{"id":"W4409579963","doi":"10.61091/jcmcc127a-090","title":"Research on Cost and Risk Co-minimization Model of Cross-border Logistics in Guangxi Based on Monte Carlo Approach","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monte Carlo method; Minification; Computer science; Econometrics; Mathematical optimization; Economics; Mathematics; Statistics","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":[0.001612125,0.0008908746,0.001417021,0.001136155,0.0007472866,0.002042237,0.001858346,0.001568349,0.00291894],"category_scores_gemma":[0.002740121,0.0009134724,0.001462822,0.0009884975,0.0008179453,0.00162699,0.0009603382,0.001224212,0.0001510569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002872946,"about_ca_system_score_gemma":0.002537428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06002042,"about_ca_topic_score_gemma":0.01859308,"domain_scores_codex":[0.9993248,0.0002379573,0.00002857788,0.0001374746,0.0001231099,0.0001481457],"domain_scores_gemma":[0.9986274,0.0008323129,0.0001881161,0.00003604344,0.0002417799,0.00007441081],"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":[0.000009423983,0.000008976286,0.0008787768,0.0000171903,0.00001579461,0.00006531909,0.00001870002,0.9932515,0.00009979608,0.004349612,0.000151891,0.001132951],"study_design_scores_gemma":[0.000001781841,0.000003815778,0.0001666087,0.000002900594,0.00000510187,0.000006869697,0.000006297746,0.998944,0.00001908817,0.0007782231,0.00006258789,0.000002727159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2681561,0.002507343,0.707428,0.001908501,0.0001025385,0.000158107,0.0003358549,0.0002293757,0.01917417],"genre_scores_gemma":[0.9715186,0.001097022,0.01809601,0.000119798,0.00004203308,0.0001666778,0.0002219906,0.00005126451,0.008686675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06002042,"threshold_uncertainty_score":0.1193421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04813606576249042,"score_gpt":0.3711427461187508,"score_spread":0.3230066803562604,"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."}}