{"id":"W2914257995","doi":"","title":"An assessment of the impacts of climate change on the hydrology of Upper Manyame Sub-Catchment, Zimbabwe.","year":2016,"lang":"en","type":"article","venue":"University of Zimbabwe Institutional Repository (University of Zimbabwe)","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Climate change; Drainage basin; Environmental science; Catchment hydrology; Water resource management; Geography; Geology","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":[0.0002274405,0.0002594574,0.0001350556,0.000661006,0.0002942462,0.0005750445,0.0001849901,0.0002452706,0.0009650532],"category_scores_gemma":[0.0006775719,0.0001143634,0.0002489979,0.0009337825,0.0001649429,0.0003927697,0.0003742451,0.0001925296,0.00008314889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210763,"about_ca_system_score_gemma":0.0005105152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1352903,"about_ca_topic_score_gemma":0.1688164,"domain_scores_codex":[0.9998952,0.0000261578,0.000008092914,0.00001564059,0.0000277807,0.00002703998],"domain_scores_gemma":[0.9998631,0.00003089751,0.00003288688,0.000009103746,0.00004271574,0.00002127853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002277549,0.0001504999,0.9339977,0.0001967259,0.0002087106,0.001324487,0.002022234,0.009657983,0.01132451,0.0007399582,0.001533202,0.03861632],"study_design_scores_gemma":[0.000009913936,0.00004544651,0.9902586,0.00001866263,0.0000323384,0.00006834044,0.0007027591,0.006917497,0.0003340096,0.0000762056,0.001528746,0.000007643425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977488,0.0002321922,0.0001559512,0.0001340285,0.000002971687,0.00002610838,0.0006139349,0.000007870378,0.00107805],"genre_scores_gemma":[0.998643,0.0002192482,0.0002752657,0.00001590628,0.000003338203,0.00001912957,0.000539046,0.000001941199,0.0002832157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1352903,"threshold_uncertainty_score":0.2690056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111132033239649,"score_gpt":0.2105286096638198,"score_spread":0.1994154063398549,"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."}}