{"id":"W2464345379","doi":"10.5194/hess-20-4747-2016","title":"Hydrological recovery in two large forested watersheds of southeastern China: the importance of watershed properties in determining hydrological responses to reforestation","year":2016,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Reforestation; Watershed; Environmental science; Streamflow; Hydrology (agriculture); Context (archaeology); Watershed management; Time of concentration; Watershed area; Agroforestry; Geography; Drainage basin; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006367016,0.0003147589,0.0004244939,0.001059007,0.000443341,0.0005119409,0.000374243,0.0002758298,0.0003048739],"category_scores_gemma":[0.0009160505,0.0001660792,0.0003645409,0.001595235,0.0006170381,0.0005200496,0.0005448255,0.0001658828,0.00002957539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116928,"about_ca_system_score_gemma":0.0008183998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03839606,"about_ca_topic_score_gemma":0.05579443,"domain_scores_codex":[0.9996829,0.00007654606,0.00003406608,0.00009362034,0.00004667014,0.0000661976],"domain_scores_gemma":[0.9993492,0.0001446175,0.0001793954,0.0000671401,0.0001163472,0.0001431968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000150388,0.0001100245,0.9894533,0.00001586901,0.00007590489,0.0003383983,0.0006047566,0.0007450369,0.004187248,0.00006268048,0.00004213867,0.004214344],"study_design_scores_gemma":[0.000006758497,0.00002172445,0.9980915,0.000001136407,0.00001251699,0.00003438945,0.0002256551,0.001328011,0.0002096956,0.00002200406,0.00004285771,0.000003687014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998674,0.000008492623,0.000042944,0.000004761877,2.618381e-7,0.000002280705,0.000039759,0.000001614268,0.00003236705],"genre_scores_gemma":[0.9996473,0.000009940604,0.0001011261,0.000004399277,0.000001103372,0.00000679419,0.0001986159,9.180741e-7,0.00002996077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03839606,"threshold_uncertainty_score":0.07634515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348958916905147,"score_gpt":0.2472487160939272,"score_spread":0.2237591269248757,"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."}}