{"id":"W2038039225","doi":"10.1002/net.20383","title":"Modeling and solving a multimodal transportation problem with flexible‐time and scheduled services","year":2010,"lang":"en","type":"article","venue":"Networks","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Column generation; Heuristics; Computer science; Flow network; Mathematical optimization; Integer programming; Digraph; Cutting-plane method; Mathematics; Algorithm","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":[0.001019432,0.001020798,0.0009154131,0.000604948,0.0006130812,0.001490925,0.0009107778,0.001513592,0.003482615],"category_scores_gemma":[0.001824624,0.0005919128,0.001020215,0.0009492411,0.0007656866,0.001249774,0.0008318677,0.0009443765,0.0002427498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505851,"about_ca_system_score_gemma":0.001432289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02217321,"about_ca_topic_score_gemma":0.01445114,"domain_scores_codex":[0.9996146,0.0001728159,0.00001131254,0.00007143772,0.00004099175,0.00008882966],"domain_scores_gemma":[0.9993153,0.0004538347,0.0000842109,0.0000284351,0.00005673794,0.00006149519],"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":[0.00001917004,0.00001491217,0.0001455143,0.00001197779,0.00000827058,0.00003459721,0.00001146454,0.995536,0.0001633093,0.001896208,0.0001225337,0.002036044],"study_design_scores_gemma":[0.000004599601,0.00001160763,0.00003808535,0.000001675506,0.000003466281,0.000004310122,0.00001238908,0.9985414,0.00007592995,0.001180823,0.0001238324,0.000001866398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3098295,0.0005952337,0.679442,0.000568567,0.00007065286,0.0001356956,0.0003472248,0.0002544739,0.008756661],"genre_scores_gemma":[0.8898326,0.000264997,0.1046504,0.00004270863,0.00003714549,0.000200453,0.0002380078,0.00005658379,0.004677156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02217321,"threshold_uncertainty_score":0.0440883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00464616798209775,"score_gpt":0.2086894580376626,"score_spread":0.2040432900555649,"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."}}