{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009457466,0.0003548783,0.0007896346,0.002162374,0.0001136486,0.00003880458,0.0003379303,0.0003901155,0.0003785899],"category_scores_gemma":[0.0001597152,0.0003878506,0.0001104975,0.004046073,0.0000597808,0.0001685648,0.0001632389,0.000377932,0.00001818826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00338572,"about_ca_system_score_gemma":0.001611955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004542661,"about_ca_topic_score_gemma":0.0007305579,"domain_scores_codex":[0.9967108,0.00008050194,0.001243605,0.0003992823,0.0003877281,0.001178062],"domain_scores_gemma":[0.9991683,0.0001165976,0.0001223088,0.0002996749,0.0001773755,0.0001157629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001210077,0.0004196809,0.2068471,0.0002624078,0.00132719,0.0007595799,0.003236557,0.7665257,0.00004333802,0.001593617,0.00616647,0.01269735],"study_design_scores_gemma":[0.002768482,0.00005355695,0.7117114,0.00003467841,0.0002263012,0.000004919771,0.004929074,0.007748184,0.00662605,0.0004140918,0.2644547,0.001028621],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889116,0.0001291075,0.0007127402,0.00009419492,0.000231798,0.0005662647,0.000002251024,0.0001778835,0.00917414],"genre_scores_gemma":[0.9946061,0.000003563615,0.001669035,0.0000166772,0.00008190171,0.0001667104,0.0001011909,0.00004526455,0.003309528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7587776,"threshold_uncertainty_score":0.9998574,"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."}}