{"id":"W2565128291","doi":"10.1016/j.jhydrol.2016.12.040","title":"A global review on hydrological responses to forest change across multiple spatial scales: Importance of scale, climate, forest type and hydrological regime","year":2016,"lang":"en","type":"review","venue":"Journal of Hydrology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":456,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; National Aerospace Science Foundation of China; China Postdoctoral Science Foundation; Murdoch University","keywords":"Environmental science; Climate change; Surface runoff; Watershed; Spatial ecology; Hydrology (agriculture); Context (archaeology); Temporal scales; Water cycle; Forest management; Ecology; Agroforestry; Geography; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021489,0.0006923043,0.003234253,0.0001411412,0.0002087803,0.00001416678,0.0009054701,0.0006757526,0.0002161262],"category_scores_gemma":[0.001054671,0.0004046372,0.000507862,0.0005056091,0.001218665,0.0001765379,0.001296636,0.0005428945,0.0002494844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002023271,"about_ca_system_score_gemma":0.00002842835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004125953,"about_ca_topic_score_gemma":0.0009832887,"domain_scores_codex":[0.9951828,0.0007984278,0.001746133,0.0008033835,0.0004831327,0.000986159],"domain_scores_gemma":[0.996601,0.0007094638,0.001739762,0.0005701386,0.00005787507,0.0003217328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004096538,0.0007526662,0.6654641,0.007660382,0.0007154786,0.001504073,0.0001614937,0.0001228715,0.000003956757,0.0001246506,0.009325873,0.3100679],"study_design_scores_gemma":[0.001239236,0.007264935,0.06624421,0.009612096,0.0008270682,0.001520271,0.000006549834,0.00003888595,5.516658e-7,0.0007353902,0.9117813,0.0007294955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1086715,0.8864235,0.00003843873,0.002350333,0.0004598501,0.001367726,0.0001309274,0.00002892762,0.0005288325],"genre_scores_gemma":[0.07401926,0.9227542,0.0001489682,0.002636808,0.0002617488,0.00008352811,0.00001140543,0.00003104314,0.0000530724],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9024554,"threshold_uncertainty_score":0.9998406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04859731630705989,"score_gpt":0.3366750059100157,"score_spread":0.2880776896029558,"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."}}