{"id":"W4221083920","doi":"10.3390/pathogens11030363","title":"Assay for Evaluating the Abundance of Vibrio cholerae and Its O1 Serogroup Subpopulation from Water without DNA Extraction","year":2022,"lang":"en","type":"article","venue":"Pathogens","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Canadian Institute for Advanced Research; Directorate for Biological Sciences; National University of Singapore; University of Alberta","keywords":"Vibrio cholerae; Cholera; DNA extraction; Detection limit; Outbreak; Waterborne diseases; Biology; Source tracking; Microbiology; Environmental science; Virology; Bacteria; Chemistry; Chromatography; Polymerase chain reaction; Computer science; Gene; Genetics","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":[0.0005913962,0.00008795644,0.0001056551,0.00001796412,0.0003034222,0.00002520563,0.00009337598,0.00003419908,0.00002631684],"category_scores_gemma":[0.0001562544,0.00006307961,0.0000499644,0.00003440219,0.00003003671,0.000007352604,0.0001958072,0.00006779958,0.00000105241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001815482,"about_ca_system_score_gemma":0.00001878144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001709637,"about_ca_topic_score_gemma":0.0000282283,"domain_scores_codex":[0.9991071,0.0001454638,0.0001532155,0.0002427577,0.0001796795,0.0001717902],"domain_scores_gemma":[0.9995952,0.00003625085,0.00007841341,0.0001720723,0.0000935452,0.00002449451],"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":[0.0001533056,0.00001989056,0.007472607,0.00001341212,0.00004537527,1.929942e-7,0.0002595331,0.0001182594,0.989085,0.000005555835,0.00003488069,0.002791976],"study_design_scores_gemma":[0.001038361,0.0007448919,0.1039753,0.00001135957,0.00006499649,0.00001019447,0.0004204219,0.007950823,0.8756053,0.0002023084,0.009754198,0.0002218081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974184,0.0006225174,0.000885035,0.000235974,0.0001314384,0.0003971275,0.0002740204,0.000006115694,0.00002938538],"genre_scores_gemma":[0.9985145,0.00004650245,0.0003570064,0.00003892155,0.0001653774,0.0001883156,0.0004286595,0.00001619879,0.0002444993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1134797,"threshold_uncertainty_score":0.2572312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04304521967478916,"score_gpt":0.3447505241072297,"score_spread":0.3017053044324406,"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."}}