{"id":"W4410227669","doi":"10.11159/ijci.2025.005","title":"Enhancing Design Standard of Agricultural Dam to Reduce Flood Risk","year":2025,"lang":"en","type":"article","venue":"International Journal of Civil Infrastructure","topic":"Agricultural Systems and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flood myth; Agriculture; Water resource management; Business; Environmental planning; Environmental science; Risk analysis (engineering); Geography; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004910276,0.0001546207,0.0003095291,0.00004871415,0.00009082878,0.0001133104,0.0006437165,0.0001031069,0.0003832672],"category_scores_gemma":[0.0004229935,0.00005092517,0.0001740997,0.000345161,0.00002693971,0.0003728634,0.00009397076,0.0002827902,0.000003803064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008826171,"about_ca_system_score_gemma":0.00004277602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009989482,"about_ca_topic_score_gemma":0.0005373012,"domain_scores_codex":[0.9983032,0.0001622998,0.0006463866,0.0001495926,0.0005826392,0.0001558433],"domain_scores_gemma":[0.9977643,0.0003660037,0.0008158108,0.00003917523,0.0009186286,0.00009609059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008204761,0.00005887477,0.009962209,0.00001466994,0.0005262608,0.00001483752,0.0005597122,0.003586076,0.8949246,0.0008347097,0.03012332,0.05857422],"study_design_scores_gemma":[0.0004859579,0.0007660821,0.7941317,0.0004505049,0.00009093306,0.0001730695,0.001581693,0.000006146235,0.1449919,0.002837051,0.05425631,0.0002286284],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916503,0.0003246903,0.001178757,0.003813274,0.001547044,0.0001541054,0.00007985107,0.00001207275,0.001239835],"genre_scores_gemma":[0.9968253,0.00009280961,0.001885435,0.0001530064,0.0008056564,0.000002150034,0.000007368899,7.488427e-7,0.0002274792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7841695,"threshold_uncertainty_score":0.4196508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009593338902490697,"score_gpt":0.2585235379160329,"score_spread":0.2489301990135422,"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."}}