{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002817463,0.0001547636,0.0001625487,0.0001228406,0.0002115541,0.00003772167,0.00006163779,0.00005231218,0.00000939204],"category_scores_gemma":[0.000004536202,0.0001296241,0.00002960015,0.00003680565,0.00007849879,0.0005261244,0.0001272101,0.00008716957,0.00001514076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001475323,"about_ca_system_score_gemma":0.000001099275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006091994,"about_ca_topic_score_gemma":0.00002028993,"domain_scores_codex":[0.9987491,0.0000545422,0.0001796997,0.0002953947,0.0001281012,0.000593206],"domain_scores_gemma":[0.9995204,0.00003462863,0.00004033635,0.000105954,0.000002506509,0.0002962201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003074365,0.002916252,0.4639142,0.002264198,0.00005179379,0.00002565325,0.2722881,0.00001962937,0.1146699,0.0009925271,0.003967444,0.1358159],"study_design_scores_gemma":[0.007280262,0.00159758,0.7366537,0.000811796,0.00003800448,0.0001219922,0.002818671,0.001937319,0.01134739,0.0004011599,0.2354027,0.001589418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788168,0.001785589,0.00002077995,0.01778365,0.0001788997,0.001227493,0.0001313804,0.00002568402,0.00002969443],"genre_scores_gemma":[0.9920793,0.0003213147,0.0006466631,0.005847471,0.0004743393,0.0004308305,0.0001188713,0.0000270757,0.00005414579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2727395,"threshold_uncertainty_score":0.5285916,"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."}}