{"id":"W4313317262","doi":"10.1007/s10668-022-02859-6","title":"Ecological-economic coordination in the Yellow River basin: spatial and temporal evolution and driving mechanisms","year":2022,"lang":"en","type":"article","venue":"Environment Development and Sustainability","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Common spatial pattern; Corporate governance; Spatial distribution; Geography; Spatial heterogeneity; Environmental governance; Economic geography; China; Structural basin; Ecology; Environmental science; 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":[0.001093449,0.0001172011,0.0001218092,0.00002806274,0.0004964034,0.00003272145,0.00009556141,0.00003663577,0.0004868112],"category_scores_gemma":[0.00000870417,0.00008863613,0.00001291268,0.00004050897,0.00007051857,0.0001656882,0.0004518642,0.00009907995,0.000006118296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008839492,"about_ca_system_score_gemma":0.00001720714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006567017,"about_ca_topic_score_gemma":0.0007396194,"domain_scores_codex":[0.9988961,0.0001852715,0.0001994839,0.0003470368,0.0001686742,0.0002034762],"domain_scores_gemma":[0.9997271,0.00005734952,0.00006014569,0.0001084138,0.00000116499,0.00004580729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001407217,0.00006224836,0.9931391,0.00001594962,0.000003762145,0.000006214324,0.00214242,0.0004048185,0.000008244601,0.0001487182,0.0000322364,0.00402219],"study_design_scores_gemma":[0.0003126487,0.00006933157,0.9781452,0.000001560381,0.000005476566,0.000006024675,0.00253313,0.004023446,0.00001262719,0.006100736,0.008653982,0.0001358763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972355,0.00003263871,0.0004954871,0.001624551,0.00003465115,0.0004537566,0.000001543857,0.000008858927,0.0001129592],"genre_scores_gemma":[0.9994159,0.00001176001,0.0002721274,0.00008432267,0.00000734037,0.0001165366,0.000009846537,0.000004237415,0.0000779721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01499396,"threshold_uncertainty_score":0.5330241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004815020978259005,"score_gpt":0.1787409703520217,"score_spread":0.1739259493737627,"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."}}