{"id":"W2997562567","doi":"10.5267/j.uscm.2019.1.002","title":"Investigating green supply chain practices for economic growth","year":2019,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Chain (unit); Business; Industrial organization; Environmental economics; Operations management; Economics; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003239999,0.00101604,0.0008731236,0.001608649,0.0006105329,0.001219754,0.001834794,0.0002242621,0.002575184],"category_scores_gemma":[0.0003538784,0.00107132,0.0004216935,0.0009307167,0.0001840595,0.002651281,0.001530553,0.0003874283,0.00258459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008610095,"about_ca_system_score_gemma":0.00009438285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007952437,"about_ca_topic_score_gemma":0.0004909891,"domain_scores_codex":[0.9939604,0.0000964549,0.001203784,0.001903022,0.0009195882,0.001916688],"domain_scores_gemma":[0.9959245,0.0004970751,0.001757375,0.001422876,0.0002900937,0.00010809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002786382,0.0003497688,0.1052833,0.008458772,0.0009581812,0.0001206226,0.0006767789,0.01128567,0.0001338499,0.7218628,0.1251567,0.02543492],"study_design_scores_gemma":[0.004970272,0.0001350673,0.005610626,0.0003047294,0.0004500568,0.000004557964,0.01429745,0.1027331,0.00006325808,0.05828089,0.8111715,0.001978444],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3187354,0.001026253,0.01093981,0.1166172,0.009760116,0.04264551,0.0002273825,0.004057218,0.4959911],"genre_scores_gemma":[0.9001672,0.0001123602,0.01047622,0.01904442,0.004305377,0.002941675,0.001080798,0.0004675737,0.06140441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6860148,"threshold_uncertainty_score":0.9998171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862255657253254,"score_gpt":0.2463228625624463,"score_spread":0.2277003059899138,"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."}}