{"id":"W1015744214","doi":"10.2166/washdev.2015.150","title":"Faecal pollution and solar purification of community water sources within Lake Naivasha basin, Kenya","year":2015,"lang":"en","type":"article","venue":"Journal of Water Sanitation and Hygiene for Development","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Environmental science; Fecal coliform; Pollution; Structural basin; Hydrology (agriculture); Contamination; Population; Rainwater harvesting; Borehole; Ecology; Water quality; Biology; Geology; Environmental health","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":[0.001054785,0.0001137963,0.0002150331,0.000226278,0.000229003,0.00009014394,0.00009476531,0.00006377548,0.000006934418],"category_scores_gemma":[0.00005152658,0.00007305437,0.00003997896,0.00004491525,0.00006695855,0.0003743213,0.00003714025,0.0001436345,0.000002206253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004877634,"about_ca_system_score_gemma":0.00002396444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001216329,"about_ca_topic_score_gemma":0.00004663248,"domain_scores_codex":[0.9988229,0.0001377302,0.0005850542,0.00007895547,0.0002277049,0.0001476112],"domain_scores_gemma":[0.9990873,0.0000248952,0.0002055493,0.00007409438,0.0004939961,0.0001141143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008151811,0.002046849,0.04492261,0.001645381,0.0004128684,0.000007488176,0.6843681,0.0004503333,0.2029476,0.0003370066,0.00873082,0.04597921],"study_design_scores_gemma":[0.004255244,0.0006602493,0.07214426,0.0001531757,0.00007403189,0.0001018811,0.004415415,0.00008371372,0.8774141,0.003284581,0.03718993,0.0002234095],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941559,0.00007692286,0.001908053,0.003270737,0.0003623786,0.0001829931,0.000007838511,0.00001061131,0.00002450207],"genre_scores_gemma":[0.9922971,0.000008251827,0.007182448,0.0003004365,0.00007382184,0.000004660721,0.00007321881,0.00001200239,0.00004807028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6799526,"threshold_uncertainty_score":0.2979071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04189220737592712,"score_gpt":0.2746728291651864,"score_spread":0.2327806217892593,"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."}}