{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001108117,0.0003755437,0.0001366341,0.0009338876,0.001027558,0.002112599,0.0002686775,0.0005645534,0.01706923],"category_scores_gemma":[0.001442632,0.00008686848,0.0001507799,0.001314659,0.0005020511,0.001116458,0.002208812,0.0009298013,0.001805462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722619,"about_ca_system_score_gemma":0.008556291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00603507,"about_ca_topic_score_gemma":0.005290031,"domain_scores_codex":[0.9995133,0.0001701108,0.00003537903,0.00002813259,0.00009470413,0.000158392],"domain_scores_gemma":[0.9991882,0.0001038435,0.0001563034,0.00005303591,0.0002366722,0.00026191],"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":[0.00007274781,0.0001116431,0.02840621,0.001571315,0.00002742669,0.0005277634,0.001691274,0.0009635268,0.001557548,0.164054,0.3894979,0.4115186],"study_design_scores_gemma":[0.00000581051,0.00004883079,0.01909703,0.001125553,0.000005068293,0.0002233127,0.001678442,0.0001601134,0.0003061112,0.006226297,0.9711146,0.000008814241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06983162,0.1440226,0.003936321,0.2479127,0.005268667,0.0003493493,0.009466385,0.0004350418,0.5187774],"genre_scores_gemma":[0.7177987,0.1541191,0.008916091,0.0115002,0.00176629,0.0005055473,0.005641044,0.00009663218,0.09965632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01706923,"threshold_uncertainty_score":0.0571022,"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."}}