{"id":"W2010371221","doi":"10.1080/13504500903549528","title":"Perspectives on small watershed management in China: the case of Biliu","year":2010,"lang":"en","type":"article","venue":"International Journal of Sustainable Development & World Ecology","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Environmental Protection Administration, Executive Yuan, R.O.C. Taiwan; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Drainage basin; Integrated water resources management; China; Structural basin; Geography; Population; Watershed management; Watershed; Water resource management; Environmental resource management; Water resources; Environmental planning; Environmental science; Cartography; Ecology; Geology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001195445,0.0001292091,0.0001846488,0.000356974,0.00009485464,0.0000351631,0.0006313859,0.00004153422,0.001097468],"category_scores_gemma":[0.00008734954,0.00008587199,0.00007216744,0.0002473885,0.0002197109,0.0001355434,0.0003944086,0.0003560187,0.00001182954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007645857,"about_ca_system_score_gemma":0.00005541773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004325149,"about_ca_topic_score_gemma":0.00309891,"domain_scores_codex":[0.9986126,0.000083901,0.0005418239,0.0001961545,0.0002436687,0.0003218195],"domain_scores_gemma":[0.999314,0.00008570428,0.000262409,0.0001543034,0.0001229216,0.00006066715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001676168,0.003098931,0.753755,0.0001064832,0.0007352351,0.05396753,0.08313542,0.01692697,0.0006621454,0.04637008,0.001901665,0.03766441],"study_design_scores_gemma":[0.001397766,0.00016242,0.8726522,0.00001331415,0.0000163831,0.0008252262,0.06465213,0.000109598,0.001447541,0.007468635,0.05105149,0.0002032963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895719,0.000009109821,0.00003023473,0.003669393,0.0002436018,0.0002625002,4.563098e-7,0.000004200193,0.006208661],"genre_scores_gemma":[0.9942618,0.000008366807,0.001462618,0.0001172196,0.00003988331,0.00001571556,9.100384e-7,0.000008167938,0.004085319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1188972,"threshold_uncertainty_score":0.9998156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004892966888405968,"score_gpt":0.2226126141031402,"score_spread":0.2177196472147343,"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."}}