{"id":"W4213207254","doi":"10.20944/preprints202202.0286.v1","title":"Assay for Evaluating the Abundance of <em>Vibrio Cholerae</em> and Its O1 Serogroup Subpopulation Directly from Water Without DNA Extraction","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Directorate for Biological Sciences; Alberta Innovates; University of Alberta; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Vibrio cholerae; Cholera; Outbreak; Waterborne diseases; Detection limit; Biology; DNA extraction; Source tracking; Microbiology; Environmental science; Virology; Chemistry; Gene; Bacteria; Polymerase chain reaction; Genetics; Chromatography; Computer science","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":[0.001812659,0.002016781,0.001119795,0.001941628,0.0003813366,0.0008635367,0.001107479,0.001429771,0.0038149],"category_scores_gemma":[0.002280537,0.0007860651,0.0007862108,0.0008167353,0.0007325002,0.0007536673,0.001258649,0.001883508,0.004188341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005125029,"about_ca_system_score_gemma":0.0005944335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005772755,"about_ca_topic_score_gemma":0.001265221,"domain_scores_codex":[0.9972866,0.0006186439,0.000225542,0.0008408885,0.0008327535,0.0001956167],"domain_scores_gemma":[0.998534,0.0005034755,0.0002514051,0.0001817275,0.000410443,0.0001190295],"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":[0.00006173175,0.0001092651,0.001242363,0.0001779196,0.00002510679,0.00001894256,0.00004914672,0.000120508,0.9917654,0.0001854994,0.0003958335,0.005848322],"study_design_scores_gemma":[0.00001443887,0.0004448273,0.005985783,0.0000614651,0.00006496232,0.000139499,0.00007415548,0.002868318,0.9817564,0.0001984237,0.008354738,0.00003696207],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1737378,0.003336767,0.7980273,0.0004750366,0.0007891557,0.001417093,0.006904453,0.003798626,0.01151391],"genre_scores_gemma":[0.2459201,0.004696338,0.685885,0.0007178709,0.0002430591,0.003780211,0.0165503,0.0007165187,0.04149061],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0038149,"threshold_uncertainty_score":0.01276213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1022795335647628,"score_gpt":0.384480329711606,"score_spread":0.2822007961468432,"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."}}