{"id":"W2312949917","doi":"10.2166/washdev.2011.058","title":"Turbidity tubes for drinking water quality assessments","year":2011,"lang":"en","type":"article","venue":"Journal of Water Sanitation and Hygiene for Development","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Turbidity; Environmental science; Water quality; Quality (philosophy); Environmental engineering; Remote sensing; Geography; Geology; Ecology; Physics","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":[0.001289394,0.0001158052,0.000182323,0.0000741431,0.0001761277,0.00004532118,0.0001860072,0.00005888262,0.00005853325],"category_scores_gemma":[0.00004126827,0.00006897073,0.00005631474,0.00002636974,0.00006033186,0.0003425411,0.0001303362,0.00006883991,0.00001232636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000138248,"about_ca_system_score_gemma":0.00001097254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001824433,"about_ca_topic_score_gemma":0.00001237669,"domain_scores_codex":[0.9988293,0.00003509687,0.000510981,0.0001503993,0.0002266996,0.0002475177],"domain_scores_gemma":[0.9996504,0.00003795423,0.00009243091,0.0000907081,0.00007298304,0.00005548614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009826259,0.0007662845,0.2760952,0.0003761257,0.00040882,0.00001169064,0.09019341,0.00008665665,0.5138627,0.0007913983,0.001803704,0.1146214],"study_design_scores_gemma":[0.0006498071,0.0002252447,0.106235,0.00002352202,0.00001823328,0.000007263467,0.0005007624,0.00001106832,0.8687156,0.01086449,0.01258861,0.0001603523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827886,0.000006783115,0.01629607,0.0002040539,0.0003687576,0.0002150053,0.000001587999,0.00002356964,0.00009557209],"genre_scores_gemma":[0.8331199,0.000004302437,0.1666209,0.00003856029,0.00003307902,0.00002670298,0.000006541989,0.000009183482,0.0001409196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.354853,"threshold_uncertainty_score":0.2812545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1179968598319922,"score_gpt":0.3321776733972908,"score_spread":0.2141808135652986,"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."}}