{"id":"W4289943419","doi":"10.1002/rvr2.11","title":"Urban water security for developing countries","year":2022,"lang":"en","type":"article","venue":"River","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sanitation; Clean water; Urbanization; Developing country; Millennium Development Goals; Water security; Business; Economic growth; Sustainable development; Environmental planning; Population; Water resources; Geography; Political science; Economics; Engineering; Environmental engineering; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009719701,0.00006548406,0.00008249896,0.00004782556,0.0004265934,0.00003760643,0.0001118119,0.00001816252,0.0002699182],"category_scores_gemma":[0.000004328281,0.00005526167,0.0000460115,0.00004206394,0.00003083978,0.0001037199,0.00008160387,0.00007115228,0.00003060964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026118,"about_ca_system_score_gemma":0.00000605681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002335817,"about_ca_topic_score_gemma":0.000003167371,"domain_scores_codex":[0.9994226,0.00003015648,0.00009692387,0.0001426832,0.0001208127,0.0001868743],"domain_scores_gemma":[0.9998125,0.00002649468,0.00001687647,0.00008857589,0.00003392037,0.00002158485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008420342,0.0001383064,0.01935787,0.000215691,0.00004258069,0.00001113878,0.02981586,0.00001346275,0.0005164716,0.008176287,0.9405468,0.0003235661],"study_design_scores_gemma":[0.0008120871,0.00004033018,0.001702699,0.000006074862,0.00001049026,0.000006285526,0.00005486169,0.00007152904,0.03948805,0.006582545,0.9511004,0.0001246378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798719,0.0001155783,0.0003778897,0.01703447,0.001407542,0.0003970975,0.0001084473,0.0001253984,0.0005616326],"genre_scores_gemma":[0.9940994,0.000002772474,0.0002943274,0.004893316,0.0002054661,0.00005951517,0.00009784604,0.00001429141,0.0003330197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03897158,"threshold_uncertainty_score":0.3281054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147218676503078,"score_gpt":0.2571289273641292,"score_spread":0.2424070597138214,"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."}}