{"id":"W2062600705","doi":"10.12927/whp.2013.23437","title":"Global Access to Safe Water: Accounting for Water Quality and the Resulting Impact on MDG Progress","year":2013,"lang":"en","type":"article","venue":"World health & population","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hill's Pet Nutrition; University of North Carolina at Chapel Hill; UNICEF","keywords":"Water quality; Population; Environmental health; Millennium Development Goals; Environmental science; Water source; Baseline (sea); Water resource management; Environmental planning; Environmental protection; Business; Developing country; Medicine; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001407176,0.0002028926,0.0003330338,0.0001320218,0.0007895549,0.0006188375,0.0001990665,0.00005323001,0.00003201868],"category_scores_gemma":[0.00006754132,0.0001029803,0.00009248588,0.0001943641,0.00004305211,0.0005945332,0.00009609786,0.0001285058,0.00002424279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003432084,"about_ca_system_score_gemma":0.000007613423,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01016554,"about_ca_topic_score_gemma":0.001451533,"domain_scores_codex":[0.997742,0.0002871236,0.0006958693,0.0003759932,0.0002637907,0.0006352439],"domain_scores_gemma":[0.9991406,0.0001322086,0.0001766607,0.0002610796,0.0001243043,0.0001651428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004280749,0.0001261003,0.9146881,0.0005106063,0.0000232615,2.01413e-7,0.002789167,0.0004430771,0.00004637108,0.0008454825,0.01029214,0.06595475],"study_design_scores_gemma":[0.002669735,0.00009204106,0.9863706,0.0001730507,0.00001047416,0.000001758265,0.0000324617,0.001260453,0.0005902133,0.006359662,0.002252263,0.0001873311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8478746,0.00004902195,0.00008491857,0.1485097,0.0004887675,0.002771487,0.00002557299,0.00009294157,0.0001029943],"genre_scores_gemma":[0.9886484,0.000001790744,0.000379193,0.009892211,0.0005252319,0.0002049164,0.0002863622,0.00002313124,0.00003876518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1407738,"threshold_uncertainty_score":0.9964259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0522556933682625,"score_gpt":0.4252775095631662,"score_spread":0.3730218161949037,"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."}}