{"id":"W4391243750","doi":"10.1016/j.jclepro.2024.140823","title":"A differential game of water pollution management in the trans-jurisdictional river basin","year":2024,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Water resources management and optimization","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Corporate governance; Business; Stakeholder; Upstream (networking); Environmental economics; Government (linguistics); Downstream (manufacturing); Environmental resource management; Environmental planning; Natural resource economics; Economics; Environmental science; Finance","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":[0.0002721336,0.00007447376,0.00009254997,0.0003169184,0.00001663493,0.00003626576,0.00008640334,0.00002720887,0.00006379506],"category_scores_gemma":[0.000001421461,0.00004450579,0.00007415182,0.0001397151,0.00002427374,0.0002654578,0.000007329051,0.0001396129,0.000004190741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004509964,"about_ca_system_score_gemma":0.000001955512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002233465,"about_ca_topic_score_gemma":0.000001456055,"domain_scores_codex":[0.9992306,0.00004067154,0.0002977463,0.00007499517,0.0002588318,0.00009717188],"domain_scores_gemma":[0.9998564,0.0000038363,0.00003015313,0.00007261396,0.00002531689,0.00001173941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001175488,0.0001103167,0.0001604424,0.0004376437,0.0002615438,0.00002667191,0.008414659,0.9492214,0.006137111,0.0003769532,0.00536258,0.02937313],"study_design_scores_gemma":[0.003913837,0.0007115312,0.1093474,0.001351815,0.001525977,0.0005567036,0.002826194,0.2446263,0.131171,0.008265777,0.4947068,0.0009966672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686263,0.0001503605,0.02705922,0.001642654,0.00139763,0.0001821144,0.000001118687,0.0000340859,0.0009065112],"genre_scores_gemma":[0.9987713,0.0001994859,0.0001951044,0.00001059753,0.0004856452,0.000002636628,0.000005430676,0.00001193738,0.0003179369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7045951,"threshold_uncertainty_score":0.1814893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006644629491364946,"score_gpt":0.1914360583167997,"score_spread":0.1847914288254348,"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."}}