{"id":"W3140991066","doi":"","title":"Integrated watershed management： evolution, development and emerging trends","year":2016,"lang":"en","type":"article","venue":"林业研究：英文版","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed management; Watershed; Environmental resource management; Resource management (computing); Adaptive management; Ecosystem management; Business; Government (linguistics); Environmental planning; Sustainable development; Sustainable management; Sustainability; Geography; Ecology; Computer science; Environmental science; Ecosystem","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006303307,0.000245472,0.0003580036,0.002234475,0.001519043,0.006507465,0.001396697,0.001847287,0.001982546],"category_scores_gemma":[0.00613879,0.000267764,0.0003294453,0.005679702,0.005740658,0.00939618,0.0022409,0.002492091,0.0001829466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006609514,"about_ca_system_score_gemma":0.008617601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01210579,"about_ca_topic_score_gemma":0.0153747,"domain_scores_codex":[0.9980014,0.0004127517,0.0001970944,0.0004709512,0.0006555775,0.0002621674],"domain_scores_gemma":[0.994561,0.001914979,0.0008477123,0.0002458821,0.001854048,0.0005763734],"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":[0.00007125176,0.0001396539,0.0266921,0.001549556,0.00006196969,0.0004093937,0.007991824,0.001580989,0.001350621,0.2792538,0.009693423,0.6712054],"study_design_scores_gemma":[0.00002494091,0.0003676732,0.06178365,0.003029153,0.00008070919,0.001349349,0.02449376,0.008354871,0.002051207,0.1397157,0.7586253,0.000123593],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2466213,0.3602251,0.0320739,0.2498258,0.00149699,0.0002303189,0.0005285422,0.0003645031,0.1086336],"genre_scores_gemma":[0.7845542,0.1797831,0.0242696,0.005207982,0.0008568388,0.0001018682,0.0003065856,0.00005474568,0.004865118],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01210579,"threshold_uncertainty_score":0.04795563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007787738016887549,"score_gpt":0.2007719949099034,"score_spread":0.1929842568930158,"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."}}