{"id":"W4410472008","doi":"10.1016/j.trc.2025.105167","title":"Corrigendum to “The container drayage problem for electric trucks with charging resource constraints” [Transp. Res. Part C 174 (2025) 105100]","year":2025,"lang":"en","type":"erratum","venue":"Transportation Research Part C Emerging Technologies","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Truck; Container (type theory); Resource (disambiguation); Computer science; Transport engineering; Automotive engineering; Operations research; Environmental science; Engineering; Mechanical engineering; 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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001639883,0.0007517269,0.0008833554,0.001499466,0.000926972,0.0002524565,0.001341377,0.0009430281,0.0002810869],"category_scores_gemma":[0.0002993352,0.0006012272,0.0002138824,0.002611719,0.0006199702,0.0001176108,0.00003824613,0.003254459,0.0000176284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002420716,"about_ca_system_score_gemma":0.0005021603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001792993,"about_ca_topic_score_gemma":0.001394319,"domain_scores_codex":[0.9948643,0.00009809168,0.001057123,0.001023167,0.001133173,0.001824176],"domain_scores_gemma":[0.9975107,0.0003401159,0.0001691311,0.00115663,0.0006687835,0.0001546078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001011296,0.00003569721,0.00009910665,0.001526113,0.000268832,0.00008381207,0.0003792343,0.002225867,0.00004095538,0.007314195,0.9667839,0.02114117],"study_design_scores_gemma":[0.0005001879,0.000258051,0.00009094954,0.001249713,0.0001506096,0.000002470177,0.00158436,0.002159273,0.0005645253,0.0009043019,0.9918235,0.0007120676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0007835031,0.03791211,0.394305,0.05711766,0.03502654,0.04526712,0.01230347,0.03785766,0.379427],"genre_scores_gemma":[0.05034713,0.01637636,0.01085855,0.000555205,0.002196774,0.01831877,0.0125979,0.001005309,0.887744],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5083171,"threshold_uncertainty_score":0.9996439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0412464038941148,"score_gpt":0.2966841915925336,"score_spread":0.2554377876984189,"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."}}