{"id":"W2113525648","doi":"10.1139/l99-099","title":"Effect of easily biodegradable organic compounds on bacterial growth in a bench-scale drinking water distribution system","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Alkalinity; Dissolved organic carbon; Chemistry; Organic matter; Biofilm; Chlorine; Bacterial growth; Amino acid; Total organic carbon; Heterotroph; Nutrient; Bacteria; Hydraulic retention time; Environmental chemistry; Food science; Organic chemistry; Wastewater; Environmental engineering; Biology; Biochemistry; Environmental science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003645461,0.0003899842,0.0004992123,0.0001457342,0.0002930991,0.0007008106,0.0003090155,0.0003592359,0.0005413187],"category_scores_gemma":[0.0005339106,0.0002018225,0.0003703719,0.0001595061,0.0002775145,0.0003210047,0.0003807721,0.0005512155,0.0001678476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004996519,"about_ca_system_score_gemma":0.0003955296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004640941,"about_ca_topic_score_gemma":0.005153288,"domain_scores_codex":[0.9996217,0.00008128207,0.00003459364,0.00009028176,0.00009753392,0.00007458314],"domain_scores_gemma":[0.9995872,0.0001430737,0.00007041591,0.00002283422,0.0000779222,0.00009845376],"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":[0.000314646,0.0001972852,0.001128014,0.00005781645,0.000009983114,0.00003632499,0.00004331607,0.0002626189,0.9967283,0.000006593398,0.00001230423,0.001202804],"study_design_scores_gemma":[0.000029078,0.004283264,0.01329118,0.000005970495,0.00004464904,0.00004498224,0.0001609896,0.001551312,0.980234,0.0000125316,0.000325748,0.00001628307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994915,0.00006400197,0.0002657873,0.00001562285,0.000004273691,0.00001213598,0.00004144323,0.000009288396,0.00009587862],"genre_scores_gemma":[0.9968122,0.0001936917,0.002218873,0.00003777072,0.000006427391,0.00002150197,0.0001464735,0.000008861935,0.0005542874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004640941,"threshold_uncertainty_score":0.009227872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002230424837676341,"score_gpt":0.146909138511435,"score_spread":0.1446787136737586,"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."}}