{"id":"W4406121389","doi":"10.1016/j.seps.2024.102146","title":"A hybrid optimization approach for designing sustainable intermodal freight transport under mixed uncertainty","year":2025,"lang":"en","type":"article","venue":"Socio-Economic Planning Sciences","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Transport engineering; Business; Computer science; Engineering","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":[0.001277827,0.00141644,0.001517542,0.001425208,0.0006507998,0.001797891,0.001523532,0.002281734,0.003102366],"category_scores_gemma":[0.001666125,0.001287073,0.001779494,0.001217985,0.0007856389,0.001226789,0.001802932,0.00100447,0.0002780519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009861919,"about_ca_system_score_gemma":0.001430713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009089919,"about_ca_topic_score_gemma":0.00712808,"domain_scores_codex":[0.9994391,0.0001987881,0.00002640218,0.00009995437,0.0001385671,0.00009710906],"domain_scores_gemma":[0.9992667,0.0004894709,0.00006297343,0.00002802219,0.0001133598,0.00003944157],"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":[0.00001037434,0.00001066557,0.00006980327,0.00001632905,0.00002459446,0.0000230205,0.000008634752,0.9954805,0.0002219543,0.001736235,0.00007844726,0.002319302],"study_design_scores_gemma":[0.000002547252,0.00001148318,0.00002351912,0.000002420554,0.000005194159,0.000003142639,0.000004632603,0.9989618,0.00004563071,0.0008416064,0.00009550557,0.00000246936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02710723,0.0003500443,0.9628598,0.0002289033,0.00006028146,0.00006558678,0.0001074027,0.0001436799,0.009077078],"genre_scores_gemma":[0.8306363,0.000310114,0.1599367,0.0001648738,0.00006937776,0.0003913612,0.0001995571,0.0001186335,0.008173124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009089919,"threshold_uncertainty_score":0.01807404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923516148951191,"score_gpt":0.2455307911252095,"score_spread":0.2262956296356976,"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."}}