{"id":"W1990004397","doi":"10.1006/jema.2000.0400","title":"A system dynamics approach for regional environmental planning and management: A study for the Lake Erhai Basin","year":2001,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":304,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; University of Regina","funders":"","keywords":"System dynamics; Environmental planning; Government (linguistics); Variety (cybernetics); Time horizon; Environmental resource management; Sustainable development; Sustainable regional development; Regional planning; Nonpoint source pollution; Computer science; Pollution; Environmental science; Business; Operations research; Urban planning; Civil engineering; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008291889,0.0004729768,0.0007340201,0.0006324831,0.001059615,0.001476787,0.000839198,0.0008746281,0.003201651],"category_scores_gemma":[0.00209351,0.0004554958,0.0006851449,0.000774579,0.0006666845,0.001283095,0.0007853979,0.0007562512,0.0001259034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001852597,"about_ca_system_score_gemma":0.001853885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1006379,"about_ca_topic_score_gemma":0.088178,"domain_scores_codex":[0.9997512,0.0001471499,0.00000787731,0.00002932976,0.00002989395,0.00003457674],"domain_scores_gemma":[0.9993579,0.0004802299,0.00003461588,0.00001695026,0.00006479124,0.00004544903],"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":[0.00008615466,0.0001176881,0.01047165,0.00005478356,0.0001003901,0.0002007622,0.0003711082,0.9701571,0.0005656396,0.008042987,0.0004682904,0.00936341],"study_design_scores_gemma":[0.00001197418,0.00003011444,0.002087248,0.000002568528,0.00001924697,0.00001054203,0.000203967,0.9959661,0.00005195137,0.001382706,0.0002274913,0.000006124307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664178,0.0001871653,0.02717486,0.0004685361,0.00001587272,0.00006587932,0.0001279421,0.00006479997,0.005477145],"genre_scores_gemma":[0.9918842,0.0001319527,0.006522764,0.00002125858,0.000009081814,0.00006213294,0.00005928122,0.00002246785,0.001286783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1006379,"threshold_uncertainty_score":0.2001042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009673829073539792,"score_gpt":0.1798168774171006,"score_spread":0.1701430483435608,"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."}}