{"id":"W2981359130","doi":"10.1038/s41598-019-50875-w","title":"Impact of sanitation and socio-economy on groundwater fecal pollution and human health towards achieving sustainable development goals across India from ground-observations and satellite-derived nightlight","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"Indian Institute of Technology Kharagpur; National Oceanic and Atmospheric Administration; Ministry of Education, India; National Aeronautics and Space Administration","keywords":"Sanitation; Open defecation; Groundwater; Sustainable development; Environmental health; Environmental science; Water resource management; Water quality; Public health; Pollution; Geography; Environmental protection; Environmental engineering; Medicine; Ecology; Engineering; Biology","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":[0.00113336,0.0001749168,0.0002898916,0.0001836211,0.0008891452,0.0007796583,0.00005564417,0.00008253898,0.00002482487],"category_scores_gemma":[0.00003007364,0.0001524495,0.00004898989,0.0001843257,0.0001900012,0.0007490741,0.00008646838,0.0001071089,0.000001645786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003705463,"about_ca_system_score_gemma":0.0001056998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001211211,"about_ca_topic_score_gemma":0.00009834401,"domain_scores_codex":[0.9981136,0.00009353998,0.0005772634,0.0006077721,0.0002488706,0.0003589821],"domain_scores_gemma":[0.9990108,0.00003699803,0.0003792904,0.0002604237,0.0001756395,0.0001368272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009923972,0.0002296043,0.9546173,0.0003399084,0.00006015247,0.00001611458,0.02427085,0.000007369368,0.0146831,0.0002183922,0.0004568564,0.005001103],"study_design_scores_gemma":[0.000543662,0.0001581314,0.9870968,0.0001176317,0.000009222313,0.00002042119,0.001157653,0.00001043806,0.004505368,0.004018825,0.002188769,0.0001731049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975532,0.0002948385,0.00003688793,0.0007769269,0.0005562432,0.0006371597,0.00001193945,0.00003660323,0.00009614888],"genre_scores_gemma":[0.9989596,0.00000842533,0.0002896228,0.000111394,0.00004001749,0.00001132365,0.0003109899,0.00001662727,0.0002520204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03247947,"threshold_uncertainty_score":0.7518263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191282143477019,"score_gpt":0.306502069847484,"score_spread":0.2845892484127138,"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."}}