{"id":"W2996092635","doi":"10.3389/fmicb.2019.02907","title":"A New High Throughput Sequencing Assay for Characterizing the Diversity of Natural Vibrio Communities and Its Application to a Pacific Oyster Mortality Event","year":2019,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada); Vancouver Island University","funders":"NSW Department of Primary Industries; Cooperative Research Centres, Australian Government Department of Industry; University of Technology Sydney","keywords":"Vibrio; Biology; Vibrio harveyi; Microbiology; Vibrio Infections; Operational taxonomic unit; 16S ribosomal RNA; Bacteria; Genetics","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":[0.0003645599,0.0001139947,0.0002294138,0.00004437515,0.0001026912,0.000009302958,0.0002451168,0.00009531881,0.000002337334],"category_scores_gemma":[0.00003651403,0.00009032575,0.00004822797,0.00005513395,0.00007876349,0.000007635263,0.0006426299,0.00009709637,0.000001371834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005542908,"about_ca_system_score_gemma":0.0000466214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002621141,"about_ca_topic_score_gemma":0.0002074156,"domain_scores_codex":[0.999207,0.0001509112,0.0001684513,0.0002146719,0.00003336666,0.0002255599],"domain_scores_gemma":[0.9995294,0.00003117312,0.00008604908,0.0002610675,0.00006616001,0.00002617535],"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":[0.0001328892,0.000007252625,0.05082139,0.00004956291,0.00009247621,1.240478e-7,0.000895703,0.000004286399,0.9465308,0.00003027507,0.001107986,0.0003272454],"study_design_scores_gemma":[0.001982599,0.0006326897,0.1368357,0.00009649479,0.00005485216,0.00001740098,0.006909017,0.0002733646,0.8369542,0.0002495292,0.01550956,0.0004846019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908284,0.000689448,0.00678267,0.0004467436,0.0003271887,0.0008007471,0.0001065292,0.00000405654,0.00001423892],"genre_scores_gemma":[0.9976885,0.000103696,0.001633647,0.0001628635,0.00005081176,0.00003470448,0.0001730798,0.00000806042,0.0001446742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1095766,"threshold_uncertainty_score":0.3683377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369590866266094,"score_gpt":0.2558138238200336,"score_spread":0.2421179151573727,"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."}}