{"id":"W3118057560","doi":"10.5267/j.uscm.2020.7.007","title":"A system dynamics approach for analyzing supply chain industry: Evidence from rice industry","year":2020,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Upstream (networking); Scope (computer science); Business; Incentive; Production (economics); Industrial organization; Supply and demand; Economics; Market economy; Marketing; Microeconomics","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"],"consensus_categories":[],"category_scores_codex":[0.0005125963,0.0004250091,0.000397334,0.0002047222,0.0001733702,0.0001424342,0.0005779993,0.0006207837,0.00009234371],"category_scores_gemma":[0.0000437485,0.0004309979,0.0001494147,0.0007722146,0.00005602324,0.0002393728,0.0002072909,0.0009203106,0.00003546643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006467451,"about_ca_system_score_gemma":0.00002228412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00018377,"about_ca_topic_score_gemma":0.00000551652,"domain_scores_codex":[0.9976505,0.00009154216,0.0004806032,0.0008007386,0.000397473,0.0005791503],"domain_scores_gemma":[0.9989637,0.00007965952,0.0001092006,0.0004990668,0.00006155216,0.0002868464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009050284,0.0004372644,0.03607663,0.03239862,0.00322737,0.0002661255,0.007856893,0.6052726,0.006051815,0.007814698,0.2460896,0.05360337],"study_design_scores_gemma":[0.0009486711,0.00008489427,0.0007660849,0.0003430882,0.0001762719,0.000003125207,0.01075076,0.9691746,0.0008216923,0.00003444679,0.01624121,0.0006551623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1505588,0.003635102,0.7961964,0.02551427,0.002968514,0.008986079,0.001248878,0.004413928,0.006478076],"genre_scores_gemma":[0.9790134,0.0001413338,0.0178589,0.0006067343,0.0007573595,0.0002829603,0.0005324234,0.00008120245,0.000725659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8284547,"threshold_uncertainty_score":0.9998142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590637310742057,"score_gpt":0.2284310677263778,"score_spread":0.2025246946189572,"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."}}