{"id":"W4384068616","doi":"10.1017/wat.2023.5","title":"Progress in delivering SDG6: Safe water and sanitation","year":2023,"lang":"en","type":"article","venue":"Cambridge Prisms Water","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sanitation; Open defecation; Business; Water supply; Population; Millennium Development Goals; Sustainable development; Environmental planning; World population; Universal design; Rural area; Natural resource economics; Developing country; Economic growth; Geography; Environmental health; Environmental engineering; Medicine; Environmental science; Engineering; Economics; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002360811,0.0001525356,0.0001631908,0.0002752858,0.0001123173,0.0001380385,0.0001038203,0.00008113794,0.00002663207],"category_scores_gemma":[0.000006452744,0.0001035802,0.00003790343,0.0001288225,0.00006469575,0.0003192282,0.0001241614,0.0001461188,0.0003739035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004712705,"about_ca_system_score_gemma":0.000001857003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003897814,"about_ca_topic_score_gemma":0.000007797889,"domain_scores_codex":[0.9987703,0.00006000165,0.0002519829,0.0003103266,0.0001498282,0.0004575699],"domain_scores_gemma":[0.9996951,0.0000187202,0.00001744332,0.0001550208,0.00004053565,0.00007318971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002050049,0.0005461326,0.6503258,0.001646251,0.0001031555,0.0008032975,0.04435629,0.0001510742,0.1869273,0.0002816047,0.02940604,0.083403],"study_design_scores_gemma":[0.002376954,0.00009443699,0.3768975,0.0001346344,0.00002134895,0.00003576181,0.0001379128,0.001687469,0.5990307,0.0003879121,0.01877185,0.0004235064],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932891,0.0001079019,0.00002965293,0.005241677,0.0004928096,0.0003262497,0.000005678622,0.0001960975,0.0003108517],"genre_scores_gemma":[0.9986606,0.00001687288,0.0001259343,0.0004029527,0.0001490037,0.00004785948,0.0002402813,0.00003474042,0.0003218099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4121034,"threshold_uncertainty_score":0.4805898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148896832646955,"score_gpt":0.259183719402547,"score_spread":0.2442940361378515,"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."}}