{"id":"W6920433481","doi":"10.60692/9qqra-zhm89","title":"Intranational synergies and trade-offs reveal common and differentiated priorities of sustainable development goals in China","year":2024,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"China; Sustainable development; Climate change; Government (linguistics); Key (lock)","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":[0.001579301,0.0001850229,0.0002585546,0.001641416,0.0009066577,0.001378896,0.0002657451,0.0002413805,0.002736402],"category_scores_gemma":[0.002564299,0.0001212533,0.0002726052,0.001756204,0.0009370307,0.001186499,0.001704268,0.0002486396,0.0001135462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004207419,"about_ca_system_score_gemma":0.003742706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04491547,"about_ca_topic_score_gemma":0.09989873,"domain_scores_codex":[0.9990041,0.0002538629,0.00006432314,0.0001163407,0.0002165798,0.0003447795],"domain_scores_gemma":[0.9985142,0.0003616427,0.0003125478,0.0001366805,0.0003392069,0.0003355717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003008972,0.0001456476,0.8345927,0.0002001274,0.000239661,0.0005001933,0.005065568,0.01847902,0.005425867,0.05445184,0.001793183,0.07880531],"study_design_scores_gemma":[0.00003449931,0.0001076488,0.9434841,0.00005019127,0.0001235964,0.00007484171,0.008817395,0.01713579,0.001098674,0.02305721,0.005980181,0.00003588028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831361,0.00009244484,0.0009423836,0.0002668819,0.000003554391,0.00001775112,0.00009170626,0.00001566928,0.01543355],"genre_scores_gemma":[0.9993269,0.00002168982,0.0001738161,0.00001113683,5.466545e-7,0.000003779496,0.0000276745,0.000001160678,0.0004332416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04491547,"threshold_uncertainty_score":0.08930808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190183903778344,"score_gpt":0.1956937561930576,"score_spread":0.1837919171552742,"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."}}