{"id":"W4411545486","doi":"10.1016/j.geosus.2025.100331","title":"Urban flourish or peril: Navigating the safe and just space through the lens of ecosystem services in China’s urbanization","year":2025,"lang":"en","type":"article","venue":"Geography and sustainability","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Urbanization; China; Space (punctuation); Lens (geology); Ecosystem services; Urban space; Through-the-lens metering; Geography; Ecosystem; Environmental planning; Environmental resource management; Ecology; Economic growth; Environmental science; Economics; Computer science; Engineering; Archaeology; Biology","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":[0.0007388639,0.0004230617,0.0002064372,0.001974353,0.002675607,0.003437326,0.0005792199,0.0004606828,0.001731315],"category_scores_gemma":[0.000643439,0.000137725,0.0003939774,0.002213136,0.006346263,0.003254392,0.002794495,0.0008752255,0.0000721801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008225658,"about_ca_system_score_gemma":0.006130807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1076168,"about_ca_topic_score_gemma":0.1999595,"domain_scores_codex":[0.9996407,0.0001528861,0.000010591,0.00004694201,0.00004393092,0.0001048918],"domain_scores_gemma":[0.9997315,0.00005622261,0.00003213461,0.00002031151,0.00004782571,0.0001119911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005612709,0.00007291931,0.2200584,0.0003451118,0.00007871498,0.002225062,0.1246926,0.004147513,0.00204862,0.5677517,0.006152494,0.07237083],"study_design_scores_gemma":[0.00001734807,0.0001370614,0.4417103,0.0005699728,0.0001318936,0.0006326841,0.2336208,0.01585508,0.0007211876,0.1760465,0.1304453,0.0001118682],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9048522,0.002758041,0.007382648,0.01398192,0.0001107986,0.00005631067,0.0002018502,0.00004363435,0.07061256],"genre_scores_gemma":[0.9973132,0.0004963689,0.0009469789,0.0001651692,0.00001061976,0.00001095689,0.00002296008,0.000004369956,0.001029434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1076168,"threshold_uncertainty_score":0.2139808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00388093484085505,"score_gpt":0.2208550595232199,"score_spread":0.2169741246823649,"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."}}