{"id":"W2074558293","doi":"10.1111/j.1749-6632.2002.tb04351.x","title":"PCR and Molecular Detection for Differentiating <i>Vibrio</i> Species","year":2002,"lang":"en","type":"article","venue":"Annals of the New York Academy of Sciences","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development","funders":"","keywords":"Biology; Vibrio alginolyticus; 23S ribosomal RNA; Phylogenetic tree; Microbiology; Marine invertebrates; Vibrio anguillarum; Ribosomal RNA; Zoology; 16S ribosomal RNA; Vibrio parahaemolyticus; Vibrio; Gene; Ecology; Genetics; Bacteria; RNA","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007023069,0.001039031,0.000760812,0.001232701,0.0003297495,0.0004783538,0.0006933408,0.0007974184,0.002346834],"category_scores_gemma":[0.001324848,0.0005812299,0.0005733687,0.0007617656,0.000659548,0.0003575306,0.0003962615,0.0009119557,0.001910473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000311482,"about_ca_system_score_gemma":0.0005132938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005412522,"about_ca_topic_score_gemma":0.0006489303,"domain_scores_codex":[0.9984584,0.0002020202,0.0001708728,0.0006062211,0.0002960979,0.0002663287],"domain_scores_gemma":[0.9991751,0.0002705411,0.0001282405,0.00006961237,0.0002792635,0.00007706194],"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":[0.00009223837,0.00008492001,0.001470428,0.0001784806,0.00001161245,0.000134602,0.0001083873,0.0001465004,0.989985,0.0002701183,0.0001486312,0.0073692],"study_design_scores_gemma":[0.0001005725,0.002165254,0.01896428,0.0002106015,0.0001537687,0.001931612,0.0004337511,0.003960279,0.9458632,0.001036416,0.02512527,0.00005506079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6347735,0.004220992,0.3363855,0.000586472,0.0005805107,0.00230481,0.005387601,0.001451587,0.01430903],"genre_scores_gemma":[0.5021198,0.006894004,0.4593292,0.0007770995,0.0002667568,0.005625775,0.01270785,0.0002337384,0.01204575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002346834,"threshold_uncertainty_score":0.007850945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06371434497098703,"score_gpt":0.276479911847718,"score_spread":0.212765566876731,"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."}}