{"id":"W4210910431","doi":"10.1088/1748-9326/ac52c7","title":"Improved sustainability assessment of the G20’s supply chains of materials, fuels, and food","year":2022,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Sustainability; Natural resource economics; Supply chain; Business; China; Environmental science; Agricultural economics; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001328606,0.000712588,0.0003318574,0.00330687,0.0003983498,0.001602587,0.0004903528,0.0009180869,0.003346377],"category_scores_gemma":[0.002085289,0.0002019441,0.0009889144,0.00455654,0.0003851815,0.001460526,0.001649281,0.0003728829,0.0004720377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001932206,"about_ca_system_score_gemma":0.001596379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04658177,"about_ca_topic_score_gemma":0.03524764,"domain_scores_codex":[0.9995003,0.0001407869,0.00002269027,0.00008978294,0.0001460259,0.0001004388],"domain_scores_gemma":[0.999122,0.0001684102,0.0001250777,0.0001017567,0.000383187,0.00009969231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004681779,0.0002637797,0.4984226,0.0003077727,0.0003973977,0.0009522091,0.0009252594,0.3698592,0.01274719,0.01857867,0.0057541,0.09132373],"study_design_scores_gemma":[0.00003921689,0.0002490306,0.3285456,0.0001195261,0.0001505689,0.000193319,0.002572473,0.6188247,0.006978428,0.0177423,0.02450278,0.00008201049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632606,0.0001837536,0.01932725,0.0002266138,0.00001596484,0.00008941907,0.003254272,0.0002195837,0.01342255],"genre_scores_gemma":[0.9839455,0.0001080603,0.01136417,0.00004636862,0.000005374498,0.00004791435,0.003172704,0.00004191458,0.00126791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04658177,"threshold_uncertainty_score":0.09262127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131599825501857,"score_gpt":0.2878542627232279,"score_spread":0.2746942801730423,"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."}}