{"id":"W4391060473","doi":"10.5267/j.uscm.2023.12.002","title":"Strategic resilience: Integrating scheduling, supply chain management, and advanced operations techniques in production risk analysis and technical efficiency of rice farming in flood-prone areas","year":2024,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Flood myth; Agriculture; Production (economics); Natural disaster; Flooding (psychology); Risk management; Supply chain; Environmental resource management; Environmental economics; Environmental planning; Environmental science; Economics; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001845199,0.0006964848,0.0004298601,0.002083997,0.0004638497,0.001343915,0.0005198481,0.000507812,0.001414003],"category_scores_gemma":[0.003629147,0.0003581304,0.0005862022,0.001950268,0.0004625256,0.002173811,0.001005427,0.0005996367,0.0001394897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655826,"about_ca_system_score_gemma":0.00295223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418643,"about_ca_topic_score_gemma":0.01257103,"domain_scores_codex":[0.9992748,0.0004303665,0.000030114,0.00008455682,0.000108648,0.00007150148],"domain_scores_gemma":[0.9982247,0.001053258,0.000329158,0.00006989149,0.0001621974,0.000160804],"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":[0.0003112554,0.0004015955,0.0301438,0.0001657924,0.0002080054,0.000196764,0.0004302574,0.8354651,0.002013017,0.01633058,0.0005026205,0.1138312],"study_design_scores_gemma":[0.00001415521,0.0001984983,0.005050438,0.00003014697,0.00004848496,0.00002736473,0.0004565282,0.9827898,0.0004966839,0.01004444,0.0008239822,0.00001957083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5867357,0.0009808535,0.399751,0.001735972,0.0001064987,0.0003135246,0.0001665274,0.0003231957,0.009886718],"genre_scores_gemma":[0.9526717,0.0003699323,0.04587707,0.00004243256,0.0000246384,0.00005760588,0.00005652903,0.00001367812,0.0008864492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01418643,"threshold_uncertainty_score":0.02820772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009107206556885105,"score_gpt":0.2546983321637191,"score_spread":0.245591125606834,"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."}}