{"id":"W2947485749","doi":"10.1007/s11356-019-05481-8","title":"A panel analysis of the sustainability of logistics industry in China: based on non-radial slacks-based method","year":2019,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Federation for the Humanities and Social Sciences","keywords":"China; Urbanization; Sustainability; Sustainable development; Environmental economics; Business; Panel data; Natural resource economics; Economic geography; Economics; Economic growth; Geography; Econometrics; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001858473,0.0007275507,0.0009445038,0.001611703,0.0005561853,0.0009222254,0.001140009,0.0006145484,0.003523732],"category_scores_gemma":[0.002275225,0.0003361851,0.001479525,0.001972713,0.0003352028,0.001000697,0.0009931296,0.0005092968,0.0003135764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007801236,"about_ca_system_score_gemma":0.001087587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0341216,"about_ca_topic_score_gemma":0.02788523,"domain_scores_codex":[0.9989982,0.0004986746,0.00004122384,0.0002139204,0.00009595787,0.0001519461],"domain_scores_gemma":[0.9982952,0.0008920804,0.0001612958,0.0001926857,0.0003131322,0.0001456117],"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":[0.0007739791,0.0004826281,0.3472542,0.0002075895,0.001491763,0.000937657,0.0003275305,0.5983721,0.003051541,0.006517655,0.002447727,0.03813577],"study_design_scores_gemma":[0.00002463946,0.0001351626,0.1023732,0.00001431669,0.0002456442,0.00003249312,0.0005087706,0.8927454,0.0006206825,0.002594585,0.0006668537,0.00003822929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683449,0.0001357815,0.02842737,0.00009695959,0.00001557317,0.00003862395,0.001636686,0.00004839168,0.001255707],"genre_scores_gemma":[0.9955432,0.00005472482,0.001840907,0.000009128356,0.000009693566,0.0000263821,0.001730207,0.00000512008,0.0007807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0341216,"threshold_uncertainty_score":0.067846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03513783232008444,"score_gpt":0.2994414235817269,"score_spread":0.2643035912616424,"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."}}