{"id":"W2058791400","doi":"10.1142/s021819400800374x","title":"AN INTEGRATED GAME-THEORY BASED MODEL FOR TRANS-BOUNDARY WATER RESOURCES MANAGEMENT IN NORTH CHINA: A CASE STUDY IN THE GUANTING RESERVOIR BASIN (GRB), BEIJING","year":2008,"lang":"en","type":"article","venue":"International Journal of Software Engineering and Knowledge Engineering","topic":"Water resources management and optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"National Science Fund for Distinguished Young Scholars; National Key Research and Development Program of China","keywords":"Water resources; Beijing; Upstream (networking); Context (archaeology); Water resource management; Water quality; Resource (disambiguation); Environmental science; Integrated water resources management; Structural basin; China; Environmental resource management; Computer science; Geography; Geology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009053398,0.0002783805,0.0002805265,0.001082451,0.00006260978,0.0001273481,0.0004324745,0.0000602118,0.000002144461],"category_scores_gemma":[0.00006506962,0.0002188541,0.0000866627,0.0003098075,0.00001781595,0.0003926878,0.00004039969,0.0003940799,3.471318e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321367,"about_ca_system_score_gemma":0.00001140385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001419153,"about_ca_topic_score_gemma":0.0001435236,"domain_scores_codex":[0.9985778,0.00004636104,0.0006030375,0.0001932517,0.0002640474,0.000315476],"domain_scores_gemma":[0.9994882,0.0001507437,0.0000499845,0.0001475167,0.00009694432,0.00006665003],"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":[0.00006080003,0.0001411473,0.007788799,0.0001446789,0.0001258646,0.001365571,0.02251258,0.9656296,0.00004277658,0.00001015417,0.000006979822,0.002171094],"study_design_scores_gemma":[0.001562456,0.00008672348,0.01000685,0.0002053459,0.0000380255,0.0003303427,0.000960932,0.9856536,0.00003827694,0.000004596737,0.0008585095,0.0002542771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6512826,0.0001917487,0.3479635,0.00001230854,0.0002140241,0.0002361493,0.000004166532,0.00008574574,0.000009787372],"genre_scores_gemma":[0.9875016,0.00005390977,0.01213878,0.000008738881,0.0001497555,0.00004614293,0.00001503269,0.00006772347,0.00001828868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.336219,"threshold_uncertainty_score":0.892461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268523750212226,"score_gpt":0.2297614745778545,"score_spread":0.2170762370757322,"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."}}