{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001007123,0.0001421613,0.0003935056,0.001093716,0.0006724327,0.001990676,0.0004790887,0.0003710013,0.00276216],"category_scores_gemma":[0.003946871,0.0003363363,0.0001763554,0.001768277,0.001145367,0.001205501,0.001664054,0.0003566461,0.0001369996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002010358,"about_ca_system_score_gemma":0.001646707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09037756,"about_ca_topic_score_gemma":0.1410002,"domain_scores_codex":[0.9996825,0.00007856908,0.000019851,0.00007600788,0.00003279353,0.0001102273],"domain_scores_gemma":[0.9983125,0.0003978185,0.0005542285,0.0001067751,0.0001891601,0.000439565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001494009,0.0001582746,0.9625666,0.00002895793,0.0001765245,0.0001867285,0.00267965,0.0121699,0.001504604,0.0087072,0.000816458,0.0108557],"study_design_scores_gemma":[0.000009758432,0.00001770891,0.9864942,0.000007052175,0.0000193661,0.00002551196,0.002277972,0.007803476,0.00007624438,0.002510181,0.0007491493,0.000009414623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998607,0.0000521935,0.0001826121,0.0001504434,0.000001768036,0.000004232241,0.00005855326,0.00000491026,0.0009382626],"genre_scores_gemma":[0.9996237,0.00003316646,0.00005453617,0.000005318378,0.0000010063,0.000002620006,0.00002591425,0.000001723219,0.0002521592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09037756,"threshold_uncertainty_score":0.179703,"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."}}