{"id":"W2086959235","doi":"10.1016/j.orl.2012.01.011","title":"Model of transfer tax on transboundary water pollution in China’s river basin","year":2012,"lang":"en","type":"article","venue":"Operations Research Letters","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Program for New Century Excellent Talents in University; National Natural Science Foundation of China","keywords":"Stackelberg competition; Pollution; Tax rate; Pollutant; China; Environmental science; Drainage basin; Structural basin; Water pollution; Water transfer; Environmental tax; Reduction (mathematics); Water resource management; Economics; Tax reform; Geography; Geology; Microeconomics; Mathematics; Public economics; Chemistry; 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":[0.001103448,0.0007851102,0.001978756,0.001137854,0.001374641,0.002720818,0.00321321,0.004425766,0.01337772],"category_scores_gemma":[0.002438056,0.0008214889,0.001385801,0.001215951,0.001697175,0.003360542,0.001736646,0.002232046,0.0004869917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004988242,"about_ca_system_score_gemma":0.004493697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1336178,"about_ca_topic_score_gemma":0.05457395,"domain_scores_codex":[0.9993678,0.000209971,0.00002003181,0.0001240262,0.00005397671,0.0002243195],"domain_scores_gemma":[0.9990454,0.000400962,0.0001101325,0.00003846134,0.00021836,0.0001866744],"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":[0.00009367901,0.00009313713,0.001554954,0.00005277431,0.00003828045,0.0003191321,0.00007344729,0.9090244,0.0002415086,0.08357466,0.003214003,0.001720065],"study_design_scores_gemma":[0.00006984374,0.00002909106,0.0006633248,0.00001041014,0.00003942075,0.00003642793,0.0001246223,0.9782074,0.0000490018,0.01998221,0.0007655754,0.00002273314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7633078,0.001598093,0.1010793,0.01672652,0.0005435075,0.0002574364,0.002828483,0.0004621036,0.1131967],"genre_scores_gemma":[0.9669125,0.0004125085,0.001369652,0.0001482003,0.0000564236,0.00008370794,0.0002092374,0.00003784404,0.03076991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1336178,"threshold_uncertainty_score":0.2656801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06665134195146924,"score_gpt":0.3497308808681951,"score_spread":0.2830795389167259,"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."}}