{"id":"W4313430789","doi":"10.3390/su142416979","title":"Coordinated Distribution or Client Introduce? Analysis of Energy Conservation and Emission Reduction in Canadian Logistics Enterprises","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Distribution (mathematics); Profit (economics); Maximization; Environmental economics; Mode (computer interface); Industrial organization; Scale (ratio); Energy conservation; Economies of scale; Population; Marketing; Computer science; Economics; Microeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007901777,0.0004647698,0.0003907255,0.0009204742,0.001348134,0.00165699,0.001362089,0.0005959049,0.003125533],"category_scores_gemma":[0.001980099,0.0002731476,0.0007575463,0.0009537367,0.0009795065,0.00119729,0.0009558171,0.0005514373,0.00009829042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0227411,"about_ca_system_score_gemma":0.01238275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8096012,"about_ca_topic_score_gemma":0.7845657,"domain_scores_codex":[0.9988611,0.0001692473,0.00001770001,0.0001195895,0.0003051915,0.0005272034],"domain_scores_gemma":[0.9994098,0.0001613426,0.00006679056,0.00002857388,0.0002470074,0.00008647717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002925224,0.0002836179,0.04182176,0.0002066903,0.0001525216,0.0009773916,0.001112984,0.7102202,0.004602845,0.1953858,0.002841127,0.04210264],"study_design_scores_gemma":[0.00004579426,0.0001121438,0.02733001,0.00004294516,0.0001660539,0.00009364408,0.003056662,0.943468,0.001576474,0.01857324,0.005469293,0.00006568313],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401149,0.0004387013,0.02189771,0.0007470283,0.00001415954,0.0001376601,0.0002180132,0.00004166732,0.03639012],"genre_scores_gemma":[0.9950933,0.0001425991,0.001261474,0.00001960801,0.000001426047,0.00001630066,0.00004196258,0.00000408358,0.003419203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1903988,"threshold_uncertainty_score":0.3830401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008588250074017435,"score_gpt":0.2317809860351384,"score_spread":0.2231927359611209,"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."}}