{"id":"W2944891898","doi":"10.5430/ijfr.v10n3p371","title":"Green Supply Chain Management (GSCM) Practices for Sustainability Performance: An Empirical Evidence of Malaysian SMEs","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Business; Sustainability; Supply chain management; Supply chain; Empirical research; Empirical evidence; Certification; Purchasing; Environmental economics; Industrial organization; Marketing; Environmental resource management; Economics; Management","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":[0.001619369,0.0001884586,0.0001262184,0.0009503759,0.0005096353,0.001260079,0.0002308663,0.0003430501,0.001762824],"category_scores_gemma":[0.006063879,0.0001160819,0.0002088538,0.001614909,0.0005663802,0.001264547,0.0007450248,0.0003815408,0.0002611253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007988993,"about_ca_system_score_gemma":0.001616443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004293432,"about_ca_topic_score_gemma":0.008005816,"domain_scores_codex":[0.9990531,0.0002677794,0.0001328092,0.00007718366,0.0003490028,0.0001202285],"domain_scores_gemma":[0.989989,0.003192002,0.004112834,0.0002669811,0.001704416,0.0007347328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007756036,0.0002797532,0.9382892,0.0005059409,0.00004597162,0.0007186729,0.01089736,0.0004069182,0.001123195,0.001134715,0.0005381868,0.04598255],"study_design_scores_gemma":[0.000004522964,0.0003159391,0.966575,0.0005268946,0.00005033929,0.000311056,0.02601388,0.0006555618,0.001094302,0.0003916787,0.004042395,0.00001849461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966295,0.0004260052,0.00007262307,0.0001855728,0.00000223688,0.000008656467,0.00003461633,0.000001954936,0.002638752],"genre_scores_gemma":[0.9992971,0.0003362551,0.00008477656,0.00001847748,0.000001512931,0.000002842161,0.00001906337,6.664203e-7,0.0002392199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004293432,"threshold_uncertainty_score":0.008564115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0894247771091692,"score_gpt":0.4159564076582516,"score_spread":0.3265316305490824,"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."}}