{"id":"W4205868561","doi":"10.1016/b978-0-08-102671-7.10469-5","title":"Service Network Design for Freight Railroads","year":2021,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Transport engineering; Train; Service (business); Network planning and design; Resource (disambiguation); Traffic management; Consolidation (business); Computer science; Rail freight transport; Operations research; Engineering; Business; Telecommunications; Computer network","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000212531,0.000469237,0.0005882382,0.00004969366,0.00009061813,0.00007327519,0.0002325507,0.0004751767,0.001134362],"category_scores_gemma":[0.00001067977,0.0004850855,0.0002123283,0.00001386033,0.00003147259,0.00001896727,0.00006973762,0.0003900693,0.00007589551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006221599,"about_ca_system_score_gemma":0.00007682193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.467908e-7,"about_ca_topic_score_gemma":0.00003649187,"domain_scores_codex":[0.9986252,0.00001161542,0.0004285325,0.000335895,0.0001763663,0.000422457],"domain_scores_gemma":[0.99896,0.0001534338,0.00008121868,0.0005215193,0.0001497415,0.0001341216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007395184,0.000002646923,3.719433e-7,0.0005612039,0.0002508067,0.00007044661,0.00004497462,0.007441281,0.000003608936,0.018249,0.02095218,0.9524161],"study_design_scores_gemma":[0.0001699201,0.00002104471,8.619406e-7,0.0003526616,0.0001928127,0.0000143085,0.000001533691,0.003536457,0.00002095418,0.01656717,0.9785753,0.0005469685],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[2.210352e-7,0.005345471,0.01490146,0.00002788996,0.001196492,0.000654914,0.00006912703,0.0002498719,0.9775546],"genre_scores_gemma":[0.00003340482,0.0002616402,0.01860512,0.0005457103,0.001957558,0.0001022368,0.0001859765,0.0002444911,0.9780639],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9576231,"threshold_uncertainty_score":0.9997787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02872504903216659,"score_gpt":0.2138000645799789,"score_spread":0.1850750155478123,"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."}}