{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002036633,0.002424618,0.002547214,0.003269478,0.004366955,0.004198205,0.004079314,0.00987019,0.1185588],"category_scores_gemma":[0.01517675,0.00126661,0.00285152,0.00305559,0.001896172,0.003460935,0.001944564,0.008527446,0.05261926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008390049,"about_ca_system_score_gemma":0.005251844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1080622,"about_ca_topic_score_gemma":0.1493394,"domain_scores_codex":[0.9965774,0.0005504368,0.0003837173,0.0005171119,0.001577578,0.0003936664],"domain_scores_gemma":[0.9909784,0.00209665,0.0002763325,0.000373478,0.005988553,0.0002865844],"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":[0.000009222895,0.000005096364,0.0000217711,0.00003789795,0.000003794679,0.0000527259,0.000006598042,0.00006253704,0.00001916215,0.0008445929,0.9975274,0.001409212],"study_design_scores_gemma":[0.00004844788,0.0000308882,0.00165358,0.0003020693,0.00004372521,0.0001395748,0.0001041565,0.001096653,0.0002910448,0.006227467,0.9899783,0.00008400329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0004277884,0.005146873,0.001932154,0.1459136,0.7819414,0.0001330656,0.003649544,0.0006924758,0.06016317],"genre_scores_gemma":[0.009873226,0.01219303,0.003745607,0.1080579,0.1049627,0.0004638012,0.005722919,0.0008873155,0.7540935],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1185588,"threshold_uncertainty_score":0.3966187,"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."}}