{"id":"W2118840607","doi":"10.1080/08927014.2013.816298","title":"Multi-species biofilms defined from drinking water microorganisms provide increased protection against chlorine disinfection","year":2013,"lang":"en","type":"article","venue":"Biofouling","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Provincial Laboratory of Public Health","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministry of Environment; World Health Organization","keywords":"Biofilm; Chlorine; Microorganism; Bacteria; Microbiology; Biofouling; Confocal laser scanning microscopy; Biology; Chemistry; Environmental chemistry; Biochemistry; Membrane","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001064189,0.0002502574,0.0001603224,0.00006982173,0.0003719433,0.0002041135,0.0001010198,0.0001247682,0.001620314],"category_scores_gemma":[0.00002331061,0.0001790285,0.0000842471,0.0001658841,0.00007622059,0.0006502532,0.0001354997,0.0001231659,0.003127921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003055004,"about_ca_system_score_gemma":0.000004767574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01516083,"about_ca_topic_score_gemma":0.0009307959,"domain_scores_codex":[0.9986541,0.0000496787,0.000260101,0.0004620327,0.0001975456,0.0003765447],"domain_scores_gemma":[0.9995572,0.00001664008,0.00008221069,0.0002255073,0.00001601898,0.0001024228],"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":[0.00001398639,0.0001202289,0.1729209,0.000004144429,0.00001540536,0.000001909309,0.0002394785,0.0001134712,0.8227557,0.000001014043,0.00003987184,0.003773893],"study_design_scores_gemma":[0.0006799084,0.00005837306,0.2540843,0.00001991156,0.00002234816,0.000002602533,0.00005358318,0.001512445,0.7420188,0.0001032835,0.001205717,0.000238723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994325,0.00001230752,0.003379341,0.0002048411,0.0003605319,0.0007859515,0.000003590114,0.0002954596,0.0006329484],"genre_scores_gemma":[0.9951783,0.00001091617,0.003703694,0.00008030997,0.0001873678,0.0001360493,0.0001526276,0.00003247018,0.0005182534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08116343,"threshold_uncertainty_score":0.9992923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674472906650481,"score_gpt":0.1906249116823253,"score_spread":0.1738801826158205,"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."}}