{"id":"W4404966421","doi":"10.1504/ijesd.2025.143046","title":"Simultaneous effects of climate and land use change on watershed hydrological processes","year":2024,"lang":"en","type":"article","venue":"International Journal of Environment and Sustainable Development","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Climate change; Environmental science; Land use; Land use, land-use change and forestry; Environmental resource management; Water resource management; Hydrology (agriculture); Geology; Computer science; Engineering; Civil engineering","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":[0.0005231136,0.0002529033,0.0002438468,0.0007169887,0.0003101856,0.0007045748,0.0001866727,0.000345555,0.0007685262],"category_scores_gemma":[0.001119769,0.0001430288,0.0005713086,0.001091402,0.0003279543,0.0008305633,0.0005531658,0.0003311612,0.00008135042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008392168,"about_ca_system_score_gemma":0.0008394691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01757122,"about_ca_topic_score_gemma":0.02757364,"domain_scores_codex":[0.9996175,0.00009205753,0.00002366825,0.00008837244,0.00009859703,0.00007983245],"domain_scores_gemma":[0.9995074,0.0001797136,0.0001182635,0.00003649738,0.0001067899,0.00005124641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008656126,0.0001072466,0.9613697,0.00006187192,0.0002185795,0.0004854172,0.0003276784,0.01388896,0.003485817,0.000567893,0.0003395286,0.01906069],"study_design_scores_gemma":[0.000005977542,0.00005461199,0.9819301,0.000008820394,0.00008548828,0.0001049968,0.0005021101,0.01475762,0.0009296531,0.000416863,0.001191683,0.00001205472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971948,0.0003010836,0.000613437,0.000195897,0.00001490097,0.00001208768,0.0003014453,0.00001993172,0.001346518],"genre_scores_gemma":[0.9992538,0.0002003416,0.0002081801,0.00002032112,0.00001499397,0.000004559404,0.0001537134,0.000003310792,0.0001407293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01757122,"threshold_uncertainty_score":0.03493786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00825348932653781,"score_gpt":0.2151176027353548,"score_spread":0.206864113408817,"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."}}