{"id":"W1978177754","doi":"10.1016/s1364-8152(03)00028-8","title":"Watershed management modelling in Malawi: application and technology transfer","year":2003,"lang":"en","type":"article","venue":"Environmental Modelling & Software","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Environment and Climate Change Canada; University of Waterloo","funders":"University of Wisconsin-Milwaukee; World Bank Group","keywords":"Watershed; Deforestation (computer science); Water quality; Environmental science; Hydrology (agriculture); Watershed management; STREAMS; Agriculture; Structural basin; Water resource management; Drainage basin; Hydraulics; Environmental resource management; Engineering; Geography; Ecology; Computer science; 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":[0.0007262678,0.000350539,0.0002649932,0.0004635058,0.0004565511,0.001401267,0.0006174365,0.0004597036,0.003125045],"category_scores_gemma":[0.002880469,0.0003239741,0.0003787816,0.0009084135,0.0002258531,0.001005687,0.0008523275,0.0005128935,0.000421051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123461,"about_ca_system_score_gemma":0.001682172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06385998,"about_ca_topic_score_gemma":0.0571408,"domain_scores_codex":[0.9996946,0.0001246933,0.00003321776,0.00004720763,0.00006070419,0.0000396285],"domain_scores_gemma":[0.9988404,0.0006089796,0.0000904593,0.0001107008,0.0002905085,0.00005888983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000245669,0.0002256291,0.05842048,0.0004320759,0.0002551145,0.0005921122,0.002353245,0.4348185,0.01094366,0.01832987,0.007708564,0.4656751],"study_design_scores_gemma":[0.00003709525,0.00006163483,0.01935969,0.00006523422,0.00008907673,0.0001697837,0.0005107686,0.9491145,0.007679114,0.003206851,0.01967245,0.00003377465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4386027,0.001298576,0.5358024,0.003012802,0.0001060144,0.0002556174,0.001573384,0.006085888,0.01326271],"genre_scores_gemma":[0.8379399,0.001650088,0.1540093,0.00009810944,0.00002343318,0.0001785575,0.0007663474,0.0003153723,0.005018932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06385998,"threshold_uncertainty_score":0.1269765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00813985811136109,"score_gpt":0.1811408680978521,"score_spread":0.173001009986491,"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."}}