{"id":"W4388311719","doi":"10.5267/j.uscm.2023.9.010","title":"The effect of green supply chain management practices on performances of herb manufacturers in Thailand","year":2023,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Context (archaeology); Business; Herb; Supply chain; Supply chain management; Confirmatory factor analysis; Government (linguistics); Sample (material); Marketing; Operations management; Statistics; Medicinal herbs; Mathematics; Traditional medicine; Economics; Geography; Medicine; Chemistry","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":[0.001190029,0.0002784379,0.0001637558,0.0006163865,0.0007948641,0.001828703,0.0002064981,0.0002965799,0.001618151],"category_scores_gemma":[0.003156092,0.0001215762,0.0002280333,0.001253075,0.0006992902,0.0009081525,0.0009928202,0.0003461354,0.0001520216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144191,"about_ca_system_score_gemma":0.001328036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009548146,"about_ca_topic_score_gemma":0.0169379,"domain_scores_codex":[0.9988936,0.0004343603,0.00007827285,0.0001129053,0.0002993137,0.0001815966],"domain_scores_gemma":[0.9957914,0.001227055,0.001683814,0.000126368,0.0005405616,0.0006306319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002215551,0.0002602816,0.948617,0.0002194145,0.00008624645,0.0008937828,0.01537194,0.0009116367,0.003140658,0.0004275837,0.0002501333,0.02959966],"study_design_scores_gemma":[0.000003547817,0.0003506925,0.9705458,0.00005693705,0.00003375391,0.0001216345,0.02617335,0.0008865962,0.0006968157,0.0001927278,0.0009175662,0.00002055294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987111,0.00007070448,0.00007584427,0.00005330045,0.000001736513,0.000003872208,0.00002711656,0.000001368651,0.001054858],"genre_scores_gemma":[0.999487,0.00008914886,0.00009281957,0.000009387013,0.000001962756,0.000002849913,0.00002604941,9.220357e-7,0.0002898056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009548146,"threshold_uncertainty_score":0.01898515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132437186567202,"score_gpt":0.2477417943491239,"score_spread":0.2364174224834519,"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."}}