{"id":"W2044204253","doi":"10.1007/s00267-002-2854-9","title":"Environmental Management Systems at the Industrial Park Level in China","year":2003,"lang":"en","type":"article","venue":"Environmental Management","topic":"Sustainable Industrial Ecology","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Environmental Protection Administration, Executive Yuan, R.O.C. Taiwan; Killam Trusts","keywords":"Standardization; Industrial park; Environmental management system; Environmental resource management; Business; Incentive; China; Management system; Forest management; Environmental scanning; Environmental planning; Environmental protection; Environmental economics; Engineering; Operations management; Environmental science; Computer science; Forestry; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003381625,0.000143324,0.0001723302,0.0008323424,0.001785161,0.001112449,0.0007015145,0.000283106,0.002507756],"category_scores_gemma":[0.0005066763,0.0001260269,0.0001829911,0.001243745,0.0004866377,0.0006367635,0.001094118,0.0001406562,0.0001277976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005399313,"about_ca_system_score_gemma":0.007719001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1494229,"about_ca_topic_score_gemma":0.308657,"domain_scores_codex":[0.9995174,0.00007841695,0.00001615776,0.00007584249,0.0001012193,0.0002109488],"domain_scores_gemma":[0.9996954,0.00002088142,0.00004805702,0.0000318468,0.00008925167,0.0001146446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003624699,0.0007848208,0.7930558,0.0001538295,0.0001237154,0.001651785,0.00469906,0.03743042,0.01067531,0.01188167,0.003139057,0.1360419],"study_design_scores_gemma":[0.00007052168,0.0002538,0.951174,0.00001912261,0.00006309868,0.0001635335,0.007751817,0.02744276,0.001679498,0.001624677,0.009732564,0.00002456548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959071,0.00004995652,0.0003384432,0.00009236018,0.000002023254,0.00002924046,0.00005808497,0.00002222675,0.003500668],"genre_scores_gemma":[0.997493,0.00002582102,0.0002784578,0.000007773933,0.000001266265,0.000008721998,0.00007762254,0.000001997189,0.002105138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1494229,"threshold_uncertainty_score":0.2971064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365217756999682,"score_gpt":0.1712326919480956,"score_spread":0.1575805143780988,"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."}}