{"id":"W2983971306","doi":"10.1016/j.wasec.2019.100046","title":"Invisible water security: Moisture recycling and water resilience","year":2019,"lang":"en","type":"review","venue":"Water Security","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"European Research Council; Stockholms Universitet; Nuclear Safety and Security Commission; European Commission; Svenska Forskningsrådet Formas; Japan Society for the Promotion of Science; National Aeronautics and Space Administration","keywords":"Water security; Resilience (materials science); Environmental science; Precipitation; Moisture; Agriculture; Water resources; Ecosystem; Sustainability; Environmental resource management; Food security; Natural resource economics; Business; Ecology; Geography; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007729835,0.0006685404,0.00121351,0.0001074599,0.0002409672,0.0001857423,0.000551537,0.0006420728,0.001737846],"category_scores_gemma":[0.00001340933,0.0003300894,0.0002625282,0.0001023513,0.0002481417,0.0005076844,0.001163065,0.0008356518,0.005945132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002610377,"about_ca_system_score_gemma":0.00001401402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004775425,"about_ca_topic_score_gemma":0.0001982922,"domain_scores_codex":[0.9962565,0.0003126774,0.0006921033,0.001219546,0.0005084813,0.001010725],"domain_scores_gemma":[0.9987811,0.00004405773,0.00008173158,0.0008601061,0.00001520446,0.0002177824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001521201,0.0009885927,0.00946733,0.08916726,0.0007946989,0.0006344475,0.1242692,0.00005932009,0.00569066,0.0002158196,0.06219756,0.706363],"study_design_scores_gemma":[0.0001987943,0.00005422768,0.00001661239,0.001131081,0.0002602865,0.00007059805,0.00002072086,0.0000236172,0.00458541,0.00243192,0.9905205,0.0006861868],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0503936,0.9366511,0.0000144545,0.0003249844,0.001118847,0.002471433,0.00008662778,0.0002105504,0.008728465],"genre_scores_gemma":[0.02151485,0.9730265,0.00007862457,0.0002364789,0.0002777524,0.000112933,0.0006730219,0.0001071071,0.003972802],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.928323,"threshold_uncertainty_score":0.9999151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069269310204191,"score_gpt":0.2609918372032842,"score_spread":0.2402991441012423,"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."}}