{"id":"W2098048871","doi":"10.1128/aem.02125-07","title":"Detection of Viable but Nonculturable <i>Escherichia coli</i> O157:H7 Bacteria in Drinking Water and River Water","year":2008,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale","keywords":"Escherichia coli; Viable but nonculturable; Bacteria; Microbiology; Enterobacteriaceae; Tap water; Biology; Detection limit; Chemistry; Gene; Chromatography; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.00008543447,0.0001509339,0.0001918232,0.00002648325,0.000114554,0.000004655673,0.00006358316,0.0001462716,0.00001984112],"category_scores_gemma":[0.000001688917,0.0001043103,0.00002364801,0.00001804717,0.0004891052,0.000005383645,0.0002915459,0.00009810351,0.0000073653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001767742,"about_ca_system_score_gemma":0.000004106015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000491246,"about_ca_topic_score_gemma":0.00002893351,"domain_scores_codex":[0.9991431,0.00003587173,0.0001611492,0.000315295,0.00002853147,0.0003160985],"domain_scores_gemma":[0.9998146,0.000006178257,0.00002515814,0.0001107095,0.000003800694,0.00003961084],"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":[0.00009524359,0.00004943149,0.006517224,0.00001497819,0.0000354399,0.000002558116,0.0003466108,0.000005222552,0.9927514,0.000001694961,0.00001668417,0.0001635448],"study_design_scores_gemma":[0.0007067038,0.0001440924,0.01109483,0.000003095134,0.000006900505,0.00003842909,0.0001519413,0.000004414025,0.9763297,0.00001449551,0.01135948,0.0001459169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992143,0.000287175,0.0000256995,0.00002257266,0.00003045232,0.0001887378,0.00001324662,0.000004161596,0.0002136738],"genre_scores_gemma":[0.9978372,0.001302368,0.0002404879,0.0001269705,0.00003039055,0.00003665048,0.0001700223,0.00001336273,0.0002425129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01642167,"threshold_uncertainty_score":0.4253651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004676449958344776,"score_gpt":0.1742238086833381,"score_spread":0.1695473587249934,"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."}}