{"id":"W2013044607","doi":"10.1016/j.mimet.2009.08.009","title":"Comparison study of membrane filtration direct count and an automated coliform and Escherichia coli detection system for on-site water quality testing","year":2009,"lang":"en","type":"article","venue":"Journal of Microbiological Methods","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Ministry of Education, India; Ministry of Environment; Ministry of Earth Sciences","keywords":"Filtration (mathematics); Aeromonas hydrophila; Escherichia coli; Microbiology; Chromatography; Plate count; Chemistry; Biology; Bacteria; Mathematics; Biochemistry; Statistics","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":[0.004502701,0.0001106543,0.0004004838,0.00003146268,0.0001168549,0.00003146042,0.00007159685,0.00008916201,0.000008497715],"category_scores_gemma":[0.0003115777,0.00006410478,0.00003477887,0.00008227013,0.00006356378,0.0001234507,0.00002431946,0.0001225831,6.224813e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009049496,"about_ca_system_score_gemma":0.000003138278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007259366,"about_ca_topic_score_gemma":0.00002811213,"domain_scores_codex":[0.9977675,0.001199389,0.0006367792,0.0001702224,0.00009930074,0.0001267821],"domain_scores_gemma":[0.9989018,0.0005079826,0.0003805026,0.00007429718,0.00006223931,0.00007322335],"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":[0.0003056729,0.0003418077,0.007463195,0.00002219553,0.00001094123,6.557885e-7,0.000637873,0.0002001214,0.9804995,0.000004737498,0.000004685475,0.01050862],"study_design_scores_gemma":[0.001121361,0.005844173,0.4351141,0.00002530187,0.00004029595,0.0000158668,0.0006392534,0.007368425,0.5495752,0.00003707707,0.00009894589,0.0001200279],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932937,0.00001012824,0.006117933,0.00004311275,0.00006738443,0.0003384356,0.000006266945,0.00003244913,0.00009055977],"genre_scores_gemma":[0.9656225,0.000001397017,0.03427215,0.00007058158,0.00001985591,0.000002984293,0.000001962301,0.000003010582,0.000005557078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4309243,"threshold_uncertainty_score":0.2614117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0951905671417293,"score_gpt":0.4155215418227623,"score_spread":0.320330974681033,"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."}}