{"id":"W2077784705","doi":"10.1002/sd.306","title":"Empirical analysis of eco‐industrial development in China","year":2006,"lang":"en","type":"article","venue":"Sustainable Development","topic":"Sustainable Industrial Ecology","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Health Canada","keywords":"China; Industrial ecology; Natural resource; Resource (disambiguation); Business; Quality (philosophy); Environmental economics; Environmental quality; Industrial policy; Environmental resource management; Natural resource economics; Economics; Ecology; Computer science; Sustainability; Political science; International trade","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":[0.002354732,0.0002371061,0.0002936426,0.004099873,0.001049427,0.001215721,0.0005791084,0.0002624407,0.003620985],"category_scores_gemma":[0.006441922,0.0001575958,0.0003336355,0.007966701,0.001174694,0.0007542206,0.001345577,0.0004482201,0.0002567111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003788858,"about_ca_system_score_gemma":0.004316682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1044554,"about_ca_topic_score_gemma":0.08671293,"domain_scores_codex":[0.9985868,0.0003668705,0.0001384281,0.0001477781,0.0004592186,0.000300944],"domain_scores_gemma":[0.9920841,0.002176033,0.002366014,0.0004260421,0.001804544,0.00114333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001521421,0.00004644011,0.993834,0.0000270462,0.00002923536,0.000149585,0.001099536,0.0003326094,0.00004125352,0.0005199161,0.0002802201,0.003624954],"study_design_scores_gemma":[0.000003702203,0.00002461083,0.9952295,0.00001995455,0.00001016619,0.00002988206,0.002700196,0.0009157148,0.00008111259,0.00007241283,0.0009086056,0.000004248419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977344,0.00009348991,0.00005054299,0.00009935601,0.00000166839,0.00001832577,0.0002445623,0.000002983013,0.001754552],"genre_scores_gemma":[0.9993987,0.00008095274,0.00003729948,0.00001017966,0.000001504836,0.00001119922,0.0002367918,7.974171e-7,0.000222458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1044554,"threshold_uncertainty_score":0.2076947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422440599529005,"score_gpt":0.2340215691371497,"score_spread":0.2197971631418597,"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."}}