{"id":"W2015326297","doi":"10.1021/es304585p","title":"Improving Crop Yield and Water Productivity by Ecological Sanitation and Water Harvesting in South Africa","year":2013,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Innovates","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Transpiration; Environmental science; Rainwater harvesting; Agronomy; Yield (engineering); Crop yield; Agriculture; Water-use efficiency; Food security; Soil fertility; Agroforestry; Soil water; Ecology; Irrigation; Biology; Soil science","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":[0.0003063003,0.000392591,0.0002046917,0.0002786118,0.0001899853,0.0004051939,0.0002818311,0.0001688463,0.0006782432],"category_scores_gemma":[0.000681413,0.0001440062,0.000251285,0.0005946417,0.0003721678,0.0006114711,0.0004702041,0.0001393254,0.00003381334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274919,"about_ca_system_score_gemma":0.0005737812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01782151,"about_ca_topic_score_gemma":0.03121671,"domain_scores_codex":[0.9998562,0.00004419988,0.000006166726,0.00003041593,0.00001571455,0.00004723697],"domain_scores_gemma":[0.9997923,0.00008445574,0.00007405955,0.00001411398,0.00001621205,0.00001891216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001102448,0.000484646,0.2525412,0.0005371241,0.0003562568,0.001581487,0.00110664,0.5455636,0.1214678,0.007475988,0.0004090135,0.06737381],"study_design_scores_gemma":[0.0002167584,0.001523962,0.5623491,0.00006392554,0.0003708553,0.0002121002,0.001835542,0.383561,0.04257395,0.004277739,0.002943826,0.00007123906],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988437,0.00002734986,0.0006599344,0.00002387075,7.047815e-7,0.000007855037,0.00003023107,0.000004711792,0.0004016412],"genre_scores_gemma":[0.9993559,0.00005222094,0.0004545977,0.000003265994,3.532162e-7,0.00000700592,0.00001566582,0.000001626645,0.0001094653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01782151,"threshold_uncertainty_score":0.03543556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029240440686548,"score_gpt":0.1761378564156853,"score_spread":0.1658454520088198,"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."}}