{"id":"W4414299824","doi":"10.1016/j.jhydrol.2025.134262","title":"Non-stationary streamflow responses to forest harvesting vary along topographic gradients in a sub-alpine watershed of Southwest China","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Streamflow; Watershed; Hydrology (agriculture); Soil and Water Assessment Tool; Climate change; SWAT model; Spatial variability; Experimental forest; Forest management","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":[0.0002906681,0.0001809785,0.0002927545,0.0007556112,0.0005928834,0.0005284051,0.0004649121,0.0002486242,0.0006876424],"category_scores_gemma":[0.0005728495,0.0002042172,0.0003080395,0.001028901,0.000600494,0.0003788246,0.0004998942,0.0001776074,0.00008447317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009876103,"about_ca_system_score_gemma":0.0009217036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06971231,"about_ca_topic_score_gemma":0.1356472,"domain_scores_codex":[0.9997968,0.00003346625,0.00001734575,0.00006564183,0.00002473828,0.00006186153],"domain_scores_gemma":[0.9995597,0.00008377254,0.0001123852,0.00003678475,0.00008523113,0.0001221888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000112859,0.00008001959,0.991797,0.000009208217,0.00005260325,0.0002067638,0.0007675389,0.0003975561,0.003863068,0.00006797382,0.00007059598,0.002574803],"study_design_scores_gemma":[0.000001435307,0.00000723681,0.9992168,6.011459e-7,0.00000524407,0.0000125005,0.000215482,0.0004758452,0.00003066253,0.00001299674,0.00001965129,0.000001576823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998971,0.000004867152,0.00001164743,0.000005713817,3.408788e-7,6.852355e-7,0.00002134203,0.000001046002,0.00005719588],"genre_scores_gemma":[0.999824,0.000007266651,0.00001797248,0.000003718301,0.000001099101,0.000001382055,0.00006539108,6.548823e-7,0.00007867595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06971231,"threshold_uncertainty_score":0.1386131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006684562940095939,"score_gpt":0.2323553492209726,"score_spread":0.2256707862808767,"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."}}