{"id":"W4365136681","doi":"10.3390/su15086502","title":"Integrating Environmental, Social, and Economic Dimensions to Monitor Sustainability in the G20 Countries","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Sustainability; Social sustainability; Incentive; Sustainable development; Environmental Sustainability Index; European union; Business; Sustainability organizations; Environmental economics; Resource efficiency; Sustainability science; Environmental resource management; Economics; Economic growth; Environmental planning; Political science; Economic policy; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003272932,0.0003518862,0.0003486401,0.0005738872,0.0008750581,0.0005899759,0.0005351706,0.0001034491,0.00007849287],"category_scores_gemma":[0.001874277,0.0002954834,0.0001017191,0.0009916448,0.0003885266,0.0009133754,0.001088719,0.0002967414,0.0001219708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002645258,"about_ca_system_score_gemma":0.000149148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004588403,"about_ca_topic_score_gemma":0.0007559211,"domain_scores_codex":[0.9972688,0.0001367897,0.0005238617,0.0007629532,0.0003594975,0.000948107],"domain_scores_gemma":[0.9985017,0.00048617,0.0001422226,0.0006379557,0.0002000427,0.00003197292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000137853,0.0001991626,0.8353701,0.0015418,0.0000279565,0.000138731,0.005996562,0.001274247,0.000006993851,0.1288076,0.02100002,0.005499042],"study_design_scores_gemma":[0.0004231123,0.00002473569,0.6110286,0.000009147905,0.00003232879,8.297517e-7,0.1976948,0.001702275,0.000003181119,0.1017211,0.08698218,0.0003776848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466033,0.00004036554,0.00005053017,0.04996491,0.0001668234,0.00247482,0.000009150355,0.000216582,0.0004735461],"genre_scores_gemma":[0.996718,0.000007410049,0.00002245804,0.001853449,0.0004155327,0.0005583102,0.0000318279,0.00003820041,0.000354752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2243415,"threshold_uncertainty_score":0.9999498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0099380078017395,"score_gpt":0.2533053109626165,"score_spread":0.243367303160877,"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."}}