{"id":"W2171620068","doi":"10.1139/w05-089","title":"Development of a rapid identification method for<i>Aeromonas</i>species by multiplex-PCR","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Biology; Multiplex polymerase chain reaction; Amplicon; 16S ribosomal RNA; Aeromonas hydrophila; Microbiology; Aeromonas; Primer (cosmetics); Polymerase chain reaction; Gene; Aeromonas veronii; Genetics; Bacteria","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001297642,0.001147744,0.0009923427,0.0009806252,0.0003024314,0.0008622068,0.0007568907,0.000575078,0.001332776],"category_scores_gemma":[0.002218459,0.0007161222,0.000517301,0.0003237647,0.000416875,0.0008544315,0.0006475479,0.001019908,0.001392369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003457512,"about_ca_system_score_gemma":0.0004795892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004415716,"about_ca_topic_score_gemma":0.0004685372,"domain_scores_codex":[0.9983146,0.0003251862,0.0001827996,0.0005549061,0.0004583209,0.0001641681],"domain_scores_gemma":[0.9987685,0.0004993642,0.0002042742,0.000086938,0.0003336681,0.0001071993],"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":[0.0001099648,0.00006017569,0.001140111,0.0001500552,0.00001195429,0.0000826945,0.00006711964,0.0002105163,0.974662,0.0002078079,0.0001601203,0.02313751],"study_design_scores_gemma":[0.00005198465,0.0007641107,0.004272279,0.00007314809,0.00008477481,0.001002982,0.00009964394,0.009751302,0.9748631,0.0002601705,0.008713201,0.00006341176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3737873,0.003819281,0.612514,0.0005589475,0.0003943484,0.00159762,0.001543239,0.002013658,0.003771788],"genre_scores_gemma":[0.2608493,0.001409128,0.732553,0.0001963375,0.00007581839,0.0009131085,0.001308548,0.00009606368,0.002598762],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001332776,"threshold_uncertainty_score":0.00686264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533538298283244,"score_gpt":0.238620174743352,"score_spread":0.2232847917605195,"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."}}