{"id":"W2056243858","doi":"10.1007/s10113-012-0287-4","title":"Options for water storage and rainwater harvesting to improve health and resilience against climate change in Africa","year":2012,"lang":"en","type":"article","venue":"Regional Environmental Change","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":110,"is_retracted":false,"has_abstract":false,"ca_institutions":"International Development Research Centre","funders":"Consortium of International Agricultural Research Centers; Deutsche Gesellschaft für Internationale Zusammenarbeit; Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung; International Development Research Centre","keywords":"Rainwater harvesting; Environmental science; Water storage; Climate change; Water resource management; Psychological resilience; Resilience (materials science); Climate resilience; Farm water; Natural resource economics; Environmental protection; Water conservation; Environmental planning; Water resources; Ecology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001377985,0.0002110289,0.0001365312,0.0002043149,0.001307248,0.001284402,0.0007831451,0.0008605919,0.008485404],"category_scores_gemma":[0.001963601,0.0001335422,0.0002632471,0.0002893638,0.001046751,0.001400048,0.001703815,0.0007811736,0.0002008534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271423,"about_ca_system_score_gemma":0.004162645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005896986,"about_ca_topic_score_gemma":0.02071396,"domain_scores_codex":[0.9993455,0.0003031174,0.00001980224,0.00002677116,0.00003220527,0.0002726588],"domain_scores_gemma":[0.9995983,0.0001142543,0.00006463943,0.00001223384,0.00003160265,0.0001789853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001337089,0.001930939,0.08314757,0.00274165,0.0001729224,0.005007979,0.03351144,0.009713702,0.01421642,0.1175856,0.03822554,0.6924093],"study_design_scores_gemma":[0.0006116468,0.002417967,0.1695508,0.007098953,0.00032134,0.003112237,0.2055144,0.005828788,0.007931003,0.2085247,0.3888502,0.0002380135],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7306876,0.01182132,0.003679514,0.1846186,0.0004863627,0.0001164355,0.0001698753,0.00003984589,0.06838033],"genre_scores_gemma":[0.988294,0.004267097,0.002283146,0.001506827,0.00009869582,0.00006189164,0.00002012292,0.000004543737,0.003463578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008485404,"threshold_uncertainty_score":0.02838653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06118849808220281,"score_gpt":0.2862265595559172,"score_spread":0.2250380614737144,"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."}}