{"id":"W4385975494","doi":"10.5267/j.uscm.2023.7.009","title":"Investigating the role of reverse supply chain performance and the government policy on the performance of the manufacturing firms","year":2023,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Supply chain management; Business; Procurement; Demand chain; Government (linguistics); Structural equation modeling; Reverse logistics; Industrial organization; Marketing; Process management; Operations management; Service management; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003067393,0.0001717749,0.0001676551,0.0008249148,0.0006133897,0.002441942,0.0002309612,0.0004292167,0.002329014],"category_scores_gemma":[0.01209826,0.00006404534,0.0001782871,0.001900365,0.0008146391,0.001115278,0.0009418654,0.000596848,0.0002951417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001959807,"about_ca_system_score_gemma":0.002897906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004898986,"about_ca_topic_score_gemma":0.005229903,"domain_scores_codex":[0.9973955,0.001213638,0.0001347217,0.0001552464,0.0004876692,0.000613108],"domain_scores_gemma":[0.9827084,0.007921368,0.005486956,0.0004765339,0.001952944,0.00145372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000163073,0.0003449122,0.9568511,0.00008174309,0.00008940077,0.0002544584,0.001691217,0.002784741,0.0006497637,0.00475431,0.0004940644,0.0318413],"study_design_scores_gemma":[0.000006020701,0.0002119114,0.9878227,0.00006655902,0.00004339724,0.00005253571,0.005853024,0.002635324,0.0008784468,0.0009315055,0.001483789,0.00001490597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933183,0.000204064,0.0001961927,0.0005691548,0.000005447896,0.000006089635,0.00002372392,0.000003136478,0.005673918],"genre_scores_gemma":[0.9997239,0.00005999403,0.00003691299,0.00001635686,0.000004420209,0.000001359773,0.0000131445,5.553914e-7,0.0001433329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004898986,"threshold_uncertainty_score":0.01622212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008670104271553212,"score_gpt":0.1994651353917712,"score_spread":0.190795031120218,"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."}}