{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002212607,0.002132571,0.001206868,0.002409276,0.0005787867,0.0009369387,0.001120621,0.001463008,0.002212417],"category_scores_gemma":[0.003502831,0.001031222,0.0009418196,0.001230968,0.0008331966,0.0008196341,0.001177452,0.001916191,0.003033986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004722292,"about_ca_system_score_gemma":0.0008425332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008114838,"about_ca_topic_score_gemma":0.002096277,"domain_scores_codex":[0.9958554,0.0009845099,0.0003555716,0.001092189,0.001475382,0.0002369808],"domain_scores_gemma":[0.9975628,0.0008825012,0.0004680393,0.0002295292,0.0007084428,0.0001487283],"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":[0.00004068896,0.00006791865,0.001332638,0.0002026033,0.0000235786,0.00001798629,0.00007030435,0.0001245858,0.9933054,0.0001133028,0.0001772988,0.004523719],"study_design_scores_gemma":[0.00002148785,0.0007469008,0.007885102,0.0001053015,0.0001242038,0.0002491751,0.0001441003,0.003931368,0.9771566,0.0003185445,0.009251138,0.0000661119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1681202,0.003706032,0.8115187,0.000347468,0.0006248376,0.001595559,0.005206096,0.00257552,0.00630558],"genre_scores_gemma":[0.2310816,0.005572336,0.7280024,0.0006590323,0.0002194169,0.00410709,0.01183706,0.0004929754,0.01802818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002409276,"threshold_uncertainty_score":0.01170158,"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."}}