{"id":"W4411162337","doi":"10.3390/su17125340","title":"Correction: Bai et al. Coordinated Distribution or Client Introduce? Analysis of Energy Conservation and Emission Reduction in Canadian Logistics Enterprises. Sustainability 2022, 14, 16979","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Energy conservation; Reduction (mathematics); Business; Distribution (mathematics); Environmental economics; Computer science; Engineering; Economics; Mathematics; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008727286,0.0002168027,0.0004315655,0.0005367803,0.0001021356,0.00002994182,0.0001032331,0.00019747,0.00004070387],"category_scores_gemma":[0.002168461,0.0002157689,0.0000864994,0.002454099,0.0002718507,0.0001281417,0.00002938702,0.0002946846,6.371302e-8],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004798334,"about_ca_system_score_gemma":0.001185012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1009133,"about_ca_topic_score_gemma":0.1451826,"domain_scores_codex":[0.9982008,0.0001636498,0.0006420616,0.0004344553,0.0001515261,0.0004074497],"domain_scores_gemma":[0.997973,0.000141566,0.00007638654,0.0004231299,0.001223878,0.0001620967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005208264,0.0003624971,0.8340761,0.0008056357,0.0003682084,0.00003595581,0.0004409546,0.1029223,0.00006692859,0.01319007,0.0401964,0.007014179],"study_design_scores_gemma":[0.0006896512,0.0001175265,0.6082807,0.00004645428,0.000512075,0.000003254468,0.001482244,0.3301587,0.0006374249,0.004714222,0.05297939,0.0003783194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6841362,0.0005203918,0.3038448,0.00726118,0.001944907,0.001009479,0.000404045,0.0002524637,0.0006264867],"genre_scores_gemma":[0.9982085,0.0001602152,0.00002898177,0.0001045697,0.00001232696,0.00003754897,0.0008817892,0.00001033437,0.0005557527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3140723,"threshold_uncertainty_score":0.9990221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006682468511222712,"score_gpt":0.239043647178435,"score_spread":0.2323611786672123,"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."}}