{"id":"W4402477190","doi":"10.11159/icceia24.111","title":"Decisions Supporting System for Safety Management of Agricultural Dam in Korea Peninsula","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Advanced Decision-Making Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Peninsula; Shandong peninsula; Environmental resource management; Water resource management; Environmental science; Environmental planning; Business; Geography; Physical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005095879,0.0004556005,0.0003638704,0.0009886177,0.0006333623,0.000693132,0.000727296,0.000448471,0.006229472],"category_scores_gemma":[0.0009952224,0.0001714185,0.0002998141,0.000441414,0.0001480842,0.0007217612,0.0005441679,0.0002762909,0.0009282212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005330162,"about_ca_system_score_gemma":0.001085937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005599141,"about_ca_topic_score_gemma":0.004601526,"domain_scores_codex":[0.9997669,0.00004369715,0.00003027056,0.00006584854,0.00005794041,0.00003533109],"domain_scores_gemma":[0.9994619,0.0001330875,0.00006040349,0.00007211779,0.0001871858,0.0000852185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004685569,0.001386756,0.08680426,0.00118124,0.0002621084,0.003102078,0.001892304,0.09063978,0.1059712,0.0063804,0.08188446,0.6158099],"study_design_scores_gemma":[0.0003789018,0.0007991119,0.04255068,0.0001855509,0.0003699361,0.0004539094,0.001905894,0.7928657,0.09361625,0.004572966,0.06215636,0.0001447066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8248714,0.0009102445,0.1159673,0.001266026,0.000351806,0.0006347799,0.005894477,0.02636962,0.02373423],"genre_scores_gemma":[0.9630412,0.0001898838,0.02867749,0.0001190023,0.00003169107,0.00009637374,0.002284218,0.00008580605,0.005474374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006229472,"threshold_uncertainty_score":0.02083963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007471455750473,"score_gpt":0.2992265336763466,"score_spread":0.2791518191188419,"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."}}