{"id":"W4392761266","doi":"10.1038/s41467-024-46491-6","title":"Intranational synergies and trade-offs reveal common and differentiated priorities of sustainable development goals in China","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China; Chinese Academy of Sciences; Commonwealth Scientific and Industrial Research Organisation","keywords":"Sanitation; China; Sustainable development; Poverty; Business; Economic growth; Climate change; Development economics; Economics; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002404962,0.00008404342,0.0001196336,0.0000546677,0.0001480713,0.00003925327,0.0002573948,0.0001060322,0.00003512981],"category_scores_gemma":[0.00007121475,0.0000784449,0.00001456327,0.0002749153,0.0003359667,0.0002031018,0.0004090937,0.0003416965,8.025345e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001847341,"about_ca_system_score_gemma":0.00002886642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002286592,"about_ca_topic_score_gemma":0.001786923,"domain_scores_codex":[0.9993165,0.00007099441,0.0001883031,0.0001470264,0.0001382631,0.0001389758],"domain_scores_gemma":[0.9994416,0.0002012807,0.00003692309,0.0002825917,0.000008956381,0.00002869563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007324335,0.0006174273,0.5756972,0.001434456,0.00009673872,0.00002970615,0.1047911,0.0001286911,0.002036516,0.2907226,0.003650914,0.02072138],"study_design_scores_gemma":[0.0001238994,0.00001325689,0.9755141,0.00006880944,0.000008174631,0.000004091116,0.005453466,0.0005350645,0.0001802189,0.003577922,0.01442543,0.0000955358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982293,0.0117063,0.000005311507,0.004293132,0.00002214566,0.0001961685,0.00001493624,0.00002471914,0.001444312],"genre_scores_gemma":[0.9975993,0.00141722,0.000606609,0.00004658866,0.000003902252,0.00003450924,0.00002795709,0.000006138659,0.0002577949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3998169,"threshold_uncertainty_score":0.319889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009707370746919505,"score_gpt":0.2581757802842986,"score_spread":0.248468409537379,"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."}}