{"id":"W4412400003","doi":"10.1073/pnas.2315910121","title":"Global synthesis and regional insights for mainstreaming urban nature-based solutions","year":2025,"lang":"en","type":"review","venue":"Proceedings of the National Academy of Sciences","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Corporate governance; Context (archaeology); Sustainability; Knowledge management; Political science; Environmental planning; Environmental resource management; Business; Computer science; Geography; Ecology; Biology; Economics","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":[0.0007201568,0.0001689137,0.0004370701,0.0001044331,0.0003990636,0.00003307623,0.0008839405,0.0002682893,0.00001105675],"category_scores_gemma":[0.0002823121,0.00009719875,0.0002039305,0.0008865733,0.0003118267,0.0002647341,0.0002453933,0.0001287021,0.000001095724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001247788,"about_ca_system_score_gemma":0.00006887512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001291082,"about_ca_topic_score_gemma":0.000002227251,"domain_scores_codex":[0.9983531,0.00001056901,0.0003782005,0.0003645245,0.0007133708,0.0001802245],"domain_scores_gemma":[0.9988952,0.0004533338,0.0005586433,0.00001129529,0.0000429588,0.00003860338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008989547,0.0007483105,0.01721361,0.1332825,0.0007154468,7.79452e-8,0.0003300092,0.0005782941,0.0003032589,0.3254286,0.04631286,0.4749971],"study_design_scores_gemma":[0.0004011371,0.00008382939,0.00573778,0.03557826,0.0009919509,0.00002606441,0.0001101291,0.003461489,0.0006414264,0.05379194,0.8983801,0.000795921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004046005,0.9850869,0.000001988309,0.000961257,0.00005420712,0.00091713,0.0002434584,0.0000187537,0.008670295],"genre_scores_gemma":[0.1635717,0.8330318,0.002292528,0.0004852411,0.0001967757,0.0002904297,0.000002786214,0.00001191836,0.0001168513],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8520672,"threshold_uncertainty_score":0.396365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04335616130468883,"score_gpt":0.306091521409525,"score_spread":0.2627353601048362,"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."}}