{"id":"W4290999197","doi":"10.3390/ijerph19169900","title":"Towards Cleaner Production Ecosystem: An Analysis of Embodied Industrial Pollution in International Trade of China’s Processing versus Normal Exports","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Ministry of Education, India; National Natural Science Foundation of China","keywords":"China; International trade; Balance of trade; Economics; Production (economics); Bilateral trade; International economics; Trade barrier; Cleaner production; Pollution; Business; Natural resource economics; Engineering; Ecology; Macroeconomics","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":[0.0004747888,0.0003149831,0.0002196748,0.001198759,0.0003680405,0.001095561,0.0003002168,0.0003527373,0.002408061],"category_scores_gemma":[0.0004516483,0.0001568139,0.001079514,0.001338772,0.0005574259,0.001239846,0.0005693018,0.0003005163,0.0001040353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690524,"about_ca_system_score_gemma":0.0009619087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02607121,"about_ca_topic_score_gemma":0.02067058,"domain_scores_codex":[0.9998665,0.00002028761,0.000007006806,0.00002026334,0.00003475877,0.00005108303],"domain_scores_gemma":[0.9998181,0.00004487914,0.00004421265,0.00001814944,0.00004770144,0.00002696353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002442818,0.0002805116,0.4525583,0.0002498079,0.0003857366,0.002086822,0.001296797,0.4353711,0.02524781,0.05503405,0.0008462585,0.02639849],"study_design_scores_gemma":[0.00003161804,0.0001957861,0.5583028,0.00005732565,0.0001949831,0.0002229189,0.001587545,0.4170724,0.004313851,0.01489285,0.0030764,0.00005162742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944154,0.0000790105,0.002128825,0.00007539773,0.00000292571,0.00001036429,0.00008255572,0.000009099695,0.003196235],"genre_scores_gemma":[0.9977522,0.00007493678,0.0008247988,0.0000146117,0.000002181484,0.000006881358,0.000134715,0.000006729872,0.001182972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02607121,"threshold_uncertainty_score":0.05183893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07363799279499826,"score_gpt":0.3710254138607332,"score_spread":0.297387421065735,"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."}}