{"id":"W4403520662","doi":"10.1016/j.resconrec.2024.107958","title":"Inequities blocking the path to circular economies: A bio-inspired network-based approach for assessing the sustainability of the global trade of waste metals","year":2024,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Sustainability and Ecological Systems Analysis","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McGill University","funders":"Fu Foundation School of Engineering and Applied Science; Vereniging Trustfonds Erasmus Universiteit Rotterdam; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Natural Science Foundation of China; C3.ai Digital Transformation Institute; Fundação para a Ciência e a Tecnologia; Princeton University","keywords":"Circular economy; Sustainability; Blocking (statistics); Path (computing); Natural resource economics; Business; Economics; Environmental economics; Environmental science; Ecology; Computer science; Biology; Computer network","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":[0.001589855,0.0005657837,0.0004518022,0.0028632,0.0007285592,0.002016529,0.0007624988,0.001207339,0.002260073],"category_scores_gemma":[0.005250815,0.0002984503,0.001105405,0.001452183,0.00120285,0.001845521,0.001639159,0.0008877313,0.0001097907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00206656,"about_ca_system_score_gemma":0.0008463613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007174802,"about_ca_topic_score_gemma":0.007059388,"domain_scores_codex":[0.9995024,0.000272073,0.00001611923,0.0001099138,0.00004697555,0.0000525237],"domain_scores_gemma":[0.9969607,0.001985799,0.000558162,0.0001338139,0.0001574235,0.0002040607],"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":[0.0001415179,0.0001401808,0.04231329,0.0001825774,0.0003274607,0.0002466989,0.0006468332,0.7856975,0.001521026,0.1302565,0.001249076,0.03727721],"study_design_scores_gemma":[0.000007789798,0.00002996902,0.004728423,0.00003340315,0.00003684832,0.00003972591,0.000218956,0.9383026,0.0001345215,0.05552096,0.0009330751,0.00001374948],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4592809,0.001238343,0.5234308,0.00193641,0.00007419747,0.0002266719,0.000949761,0.000180934,0.01268193],"genre_scores_gemma":[0.9333022,0.0003855862,0.06400901,0.0001125847,0.00003810862,0.0001395398,0.0003435098,0.00002828022,0.001641018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007174802,"threshold_uncertainty_score":0.01499408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072277382325714,"score_gpt":0.2598131719639244,"score_spread":0.2390903981406673,"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."}}